1975 Scoring Jobs - Page 7

Bengaluru, Karnataka Job ID 30187532 Job Category Digital Technology Job Title – AI And Analytics Tool Architect Preferred Location - Bangalore/Hyderabad, India Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do About the Role We are seeking a highly capable and strategic AI & Analytics Tooling Architect to join our centralized Tools governance team. This role is pivotal in evaluating, selecting, and governing the tools and platforms that power our AI and analytics initiatives. You will be responsible for ensuring that all tooling decisions align with business needs, technical standards, and governance frameworks—while minimizing duplication and optimizing cost. Key Responsibilities Define and maintain standardized evaluation frameworks and selection criteria for AI, data, and analytics tools. Conduct hands-on assessments of new tools and features, including cost, business fit, technical evaluation, and implementation feasibility. Approve or reject tooling requests based on strategic alignment, performance, and governance standards. Collaborate with business stakeholders to understand use cases and recommend appropriate tools or platforms. Perform gap analyses on the current technology stack to identify opportunities for consolidation or enhancement. Proactively scan the technology landscape to identify emerging tools and capabilities relevant to the organization. Coordinate with vendors on product roadmaps, feature requests, and engagement models. Partner with development teams and business relationship managers (BRMs) to align tooling decisions with business roadmaps. Maintain a centralized database of tools, features, and associated use cases for governance and reuse. Support governance processes in collaboration with AIRB and other compliance teams. Required Qualifications To be successful in this role, you should bring a combination of technical expertise, strategic thinking, and hands-on experience with enterprise tooling and platform evaluation: Education & Experience Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. 6+ years of experience in enterprise platform evaluation, solution architecture, or technology strategy, with a strong focus on AI, data, and analytics tooling. Technical Expertise Deep understanding of AI/ML platforms, data engineering tools, analytics stacks, and cloud-native services (e.g., Azure, AWS, GCP). Experience with hands-on testing, proof-of-concept development, and technical validation of enterprise tools. Familiarity with architectural patterns for AI and data solutions, including build vs. buy analysis and integration strategies. Proficiency in evaluating tools for scalability, performance, interoperability, and security. Tooling & Evaluation Skills Demonstrated ability to define and structured evaluation frameworks and scoring models. Experience conducting cost-benefit analyses, ROI assessments, and vendor comparisons. Ability to assess tools for business fit, reuse potential, and alignment with enterprise architecture. Governance & Compliance Working knowledge of AI governance, privacy, risk management, and compliance standards. Experience collaborating with legal, cybersecurity, and risk teams to ensure tools meet regulatory and internal policy requirements. Collaboration & Communication Strong interpersonal skills to work with cross-functional teams including developers, business stakeholders, vendors, and governance bodies. Excellent written and verbal communication skills to document assessments, present findings, and influence decision-making. Experience managing intake processes, stakeholder consultations, and tool lifecycle documentation. Mindset & Approach Strategic thinker with a proactive mindset and a passion for technology evaluation and optimization. Comfortable working in a fast-paced, decentralized environment with evolving priorities. Detail-oriented, analytical, and committed to delivering high-quality, data-driven recommendations. Benefits We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules and leave Policy Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Credit Analyst-Job Description About the Role Auswide Pvt. Ltd. is seeking a detail-oriented and analytical Credit Analyst to join our finance team. The ideal candidate will have a strong foundation in financial analysis, risk assessment, and credit evaluation. If you have experience in reviewing financial data, preparing credit reports, and working with tools like Excel, credit bureaus, and CRM platforms, we’d love to hear from you. Responsibilities: Analyze financial statements (balance sheets, income statements, cash flow) for new and existing clients. Conduct credit risk assessments and evaluate loan proposals. Prepare and present detailed credit reports and recommendations. Monitor client credit profiles and identify early warning signals. Collaborate with internal teams (loan officers, risk, legal) on credit decisions. Maintain accurate documentation for all credit evaluations and decisions. Ensure compliance with company credit policies and regulatory guidelines (Basel, RBI). Assist in audits and compliance checks as required. Stay informed on market trends and industry-specific risks. Technical Skills Required: Financial Statement Analysis – Evaluate income statements, balance sheets, and cash flow reports. Ratio Analysis – Assess liquidity, profitability, and solvency metrics. Credit Risk Assessment – Identify and measure potential credit losses. Loan Structuring – Understand terms, repayment schedules, and collateral arrangements. Cash Flow Analysis – Analyze operating and free cash flow for repayment capability. Credit Scoring Tools – Experience with CIBIL, Equifax, Experian, or internal scoring platforms. Accounting Knowledge – Familiarity with GAAP or IFRS standards. Industry Research – Evaluate external factors that influence client creditworthiness. Excel & Financial Modelling – Build and maintain dynamic models for analysis. Soft Skills: Strong analytical and critical thinking Attention to detail Effective communication (written and verbal) Time management and multitasking ability Ethical judgment and confidentiality Negotiation and decision-making skills Team collaboration Tools & Software: MS Excel / Google Sheets – Financial modeling and reporting Credit Rating Platforms – CIBIL, Equifax, Experian ERP Systems – SAP, Oracle CRM Tools – Zoho CRM or similar Financial Databases – Bloomberg, Reuters Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Food provided Health insurance Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Language: English (Required) Location: Mohali, Punjab (Required) Work Location: In person

Job Title: Plant head-Sheet Metal Components Location: Kuranwala, Dera Bassi Company: Fine Finish (manufacturer of spare parts of vehicles) Employment Type: Full-time Fine Finish is seeking a highly skilled and motivated Plant head with a hand on knowledge of VDA 6.3 to drive quality assurance and process improvement. Key Responsibilities: 1. Thorough Understanding of VDA 6.3: • In-depth knowledge of the seven process elements (P1 to P7) of VDA 6.3. • Capable of conducting internal process audits or preparing for customer audits. • Familiar with the VDA scoring system and audit documentation. 2. Automotive Quality Standards Expertise: • Hands-on experience with IATF 16949, ISO 9001, APQP, PPAP, FMEA, SPC, MSA. • Understanding of customer-specific requirements (CSR). 3. Process Engineering & Manufacturing Knowledge: • Deep understanding of metal insert manufacturing, sheet metal fabrication, tooling, press operations, welding, and surface treatments. • Strong grasp of lean manufacturing, Kaizen, Poka-Yoke, TPM, 5S, and OEE improvement. 4. Production Planning & Control (PPC): • Experience with MRP/ERP systems. • Strong knowledge of capacity planning, line balancing, and resource allocation. ⸻ Quality & Audit Skills: 5. Internal Auditor Experience: • Certified or trained in VDA 6.3 Process Auditing. • Able to lead Layered Process Audits (LPA), manage non-conformities, and implement corrective and preventive actions (CAPA). 6. Problem-Solving & Root Cause Analysis: • Expertise in 8D, 5-Why, and Ishikawa (fishbone diagram). • Ability to drive cross-functional teams toward a zero-defect culture. ⸻ Leadership & Communication Skills: 7. Team Management: • Strong leadership of production, quality, maintenance, and logistics teams. • Proficient in managing workforce discipline, KRA/KPI tracking, and training matrices. 8. Cross-Functional Coordination: • Acts as the key liaison between customer quality teams, top management, suppliers, and shopfloor staff. 9. Customer Handling: • Comfort in dealing with German, Japanese, and Indian OEMs/Tier-1s. • Ability to handle audit findings, technical discussions, and escalations effectively. ⸻ Other Technical Skills: 10. Data-Driven Decision-Making: • Strong command of MS Excel, Power BI, and production dashboards. • Understanding of KPI metrics such as rejection rates, downtime, and productivity. 11. Documentation & Compliance: • Skill in preparing control plans, work instructions, inspection standards, and audit trails. ⸻ Bonus Skills (Highly Preferred): • Certified VDA 6.3 Auditor (training from recognized institutes like TÜV SÜD, DQS, etc.) • Familiarity with SAP/ERP systems used in manufacturing • Exposure to QMS digitalization tools Required Skills & Experience: 1. Sound knowledge of IATF 16949 & VDA 6.3 Documentation. 2. Hands-on experience in Customer Handling, Customer Complaints (8D), and Customer Audits. 3. Strong command of 7QC Tools. 4. Proficiency in PPAP (CP, FMEA, PFD, MSA, SPC). 5. Practical knowledge of Stamping and Welding Processes. Preferred Skills: Exposure to APQP, ISO 9001, and internal quality audits. Familiarity with CMM, micrometers, calipers, and other measuring tools. Understanding of GD&T, Statistical Process Control, and control charts. Experience in 5S, Kaizen, and Lean Manufacturing. Working knowledge of MS Excel, Word, and Quality Management Systems. Education & Experience: Diploma or Degree in Mechanical / Production / Industrial Engineering. 10-15 years of hands on experience in a relevant quality engineering role sheet metal industry. What We Offer: Competitive salary based on experience and skills. A professional work environment with opportunities for growth. A chance to be part of a dynamic and quality-driven team. How to Apply: Email your resume to: finefinish981@gmail.com Contact: 9872048948 Thanks & Regards Suresh Kumar Managing Director Fine finishMob. 9872048948

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 56 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. Ensure data quality through systematic QC checks, test case creation, and validation frameworks. Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. Must Have 5 years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. Experience with MLOps practices, including version control, model monitoring, and automation. Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. Familiarity with dashboarding tools like Tableau or PowerBI is a plus. Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN

Job description Lead Generation & Sales Automation Intern Location: Delhi/NCR (or willing to relocate) Work Mode: Remote (regular travel requirement for networking events or client meetings) Duration: 3-6 months (Part-time and Full-time candidates welcome, including those pursuing courses) Working Days: 06 Days (Mon-Sat) for Full Time, Min. 24 Hr/Week for Part Time Stipend (Exp. Candidates Only): Competitive monthly stipend + Performance bonuses Start Date: Immediate About Splitmoon Studios (This hiring is for a sister concern of Splitmoon Studios, which is a startup consultancy focused on multiple business functions.) Splitmoon Studios is a digital design and development agency dedicated to transforming brands into compelling digital identities. With over 06 years of industry experience and a portfolio exceeding 50 successful projects, we deliver end-to-end solutions in website and app development, UI/UX design, branding, graphic design, and digital marketing. We are now launching a new Web3 and AI startup, expanding our commitment to quality and innovation into the next era of technology-driven growth and digital transformation. About the Role We're looking for a proactive Lead Generation Intern to drive our outbound sales efforts using AI-powered tools, email marketing, data analysis, and manual research. You’ll be responsible for identifying high-potential leads, initiating contact, qualifying prospects, managing inbound inquiries, leveraging influencer and event-based opportunities, and supporting multi-channel campaigns (including email, social media, in-app/SMS, and more). Your work will directly fuel our sales pipeline and support the Business Development team by booking qualified meetings and optimizing campaign performance. This role focuses on building a robust pipeline of qualified prospects through strategic use of AI-powered sales tools, digital marketing best practices, and personalized, data-driven outreach. Key Responsibilities 1. AI-Powered Lead Generation & Prospecting 1.1 Multi-Platform Lead Sourcing Use various AI-powered platforms to source and enrich leads. Build comprehensive lead databases using advanced filters and search criteria. Automate prospecting and data enrichment wherever possible. Extract 50-100 qualified leads daily from multiple platforms. Configure automated workflows for continuous lead capture. 1.2 Outbound Outreach & Email Marketing Design, execute, and optimize targeted email marketing campaigns for lead nurturing and engagement. Leverage AI tools for personalized email/LinkedIn sequences. Follow up with prospects and handle initial objections. Create AI-powered personalized messaging at scale. Monitor campaign performance and optimize for higher response rates. Monitor and improve email deliverability, open rates, and overall campaign effectiveness. 2. X (Twitter) Lead Generation & Automation 2.1 X Platform Prospecting Identify and engage with high-value prospects on X platform. Monitor relevant hashtags, conversations, and trending topics in target industries. Use X Advanced Search and filters to find decision-makers and influencers. Track competitor followers and engagement for potential leads. Build targeted lists based on X bio keywords, location, and interests. 2.2 X Automation & Engagement Implement X automation tools for scheduled posting and engagement. Automate follow/unfollow strategies within platform guidelines. Set up monitoring for brand mentions and relevant keywords. Create automated DM sequences for qualified prospects. Use X Analytics to track engagement and optimize outreach timing. Coordinate X outreach with other channels for a multi-platform approach. 3. Influencer Marketing & Relationship Building Identify and engage with industry influencers, KOLs to amplify outreach and generate qualified leads. Build and nurture relationships with influencers and key opinion leaders Coordinate co-marketing or partnership opportunities with identified influencers 4. Event & Networking Opportunity Sourcing Research and identify relevant industry events, webinars, and networking opportunities for business development and lead generation. Source and recommend participation in conferences, trade shows, and virtual meetups. Represent the company at selected events and document interactions for follow-up and lead tracking. 5. Cold Calling Component Execute targeted cold calling campaigns to prospects identified through AI tools, manual research, events, or influencer engagement. Conduct 20-30 cold calls daily to high-priority prospects from generated lead lists. Handle initial objections and qualify prospects over the phone using structured conversation frameworks. Warm up cold prospects through strategic phone conversations before email or other marketing sequences. Document call outcomes and schedule follow-up activities based on prospect responses. Coordinate phone outreach with email, LinkedIn, and X campaigns for a multi-channel approach. 6. Systematic Qualification Use systematic qualification criteria including budget, authority, need, and timeline (BANT methodology). Implement lead scoring methodologies to prioritize prospects based on qualification criteria. Assess prospect pain points and business challenges through structured questioning. Determine decision-making process and identify key stakeholders within target organizations. Create detailed prospect assessment reports with qualification scores and recommendations. Schedule qualified prospects for handoff to Business Development Head with comprehensive briefings. 7. Advanced LinkedIn Prospecting Perform advanced manual LinkedIn prospecting when automated tools reach limitations or for complex searches. Execute personalized connection requests with tailored messaging based on prospect research. Navigate complex LinkedIn searches for niche industry prospects using advanced search filters. Engage with prospect content through strategic likes, comments, and shares to build relationships. Monitor prospect activity and engagement patterns to optimize outreach timing. Build and maintain a professional network relevant to target industries and personas. 8. Inbound Lead Management 8.1 First Point of Contact Act as the first point of contact for inquiries via WhatsApp, Phone, Social Media and email. Ensure response within 1 hour during business hours. Qualify leads and route them to the BD team. Provide initial qualification and support. Log all interactions in shared tracking systems. 9. CRM & Pipeline Coordination 9.1 Data Management Update and maintain lead records in CRM systems. Ensure seamless handoff of qualified leads to the BD team. Prepare comprehensive handoff packages with lead profiles and conversation history. 10. Manual Research, SEO, & Gap-Filling 10.1 Strategic Manual Work & SEO Perform manual prospecting when AI tools fall short (e.g., niche industries, complex searches). Leverage SEO and organic search insights to find and prioritize high-potential prospects. Verify lead accuracy and update databases. Gather additional context from company websites, news, and social media. Build custom lead lists for specialized targeting. Create detailed prospect profiles with pain points and talking points. 11. Performance Tracking & Data Analysis 11.1 Analytics & Optimization Monitor outreach metrics (open rates, response rates, meetings booked, influencer impact, event ROI). Analyze campaign and lead generation data to identify trends, optimize targeting, and report on KPIs. Conduct A/B testing on messaging, timing, and channel mix. Prepare weekly performance reports with actionable insights. Work towards monthly lead generation and meeting booking targets. Tools You'll Use Prospecting: Apollo.io, Clay.com, Lusha, LinkedIn Sales Navigator, Hunter.io X (Twitter) Tools : X Advanced Search, TweetDeck, Buffer, Hootsuite, Hypefury X Advanced Search, TweetDeck, Buffer, Hootsuite, Hypefury Outreach Automation : Reply.io, Smartlead, Instantly.ai, Saleshandy CRM: HubSpot, Salesforce Communication: WhatsApp Business, Phone, Email, Social Media, SMS Marketing Platforms Event Sourcing: Eventbrite, Meetup, LinkedIn Events, Conference Directories Analytics: Google Sheets, Built-in tool analytics, X Analytics, Email Analytics SEO: Google Search, Moz, SEMrush, Ahrefs (for prospect research) Skills & Qualifications ✅ Must-Have Strong research and communication skills (written/verbal) Familiarity with AI sales tools Basic understanding of CRM systems Self-motivated with a hustle mindset Comfort with learning new software Detail-oriented with excellent organizational skills Cold calling confidence and phone communication skills Excellent time management and self-organization Self-learning capability and adaptability Experience with email marketing tools, campaign design, and deliverability best practices Strong analytical skills with ability to interpret and act on campaign and outreach data Understanding of influencer marketing and experience in building relationships with industry leaders Ability to research, source, and evaluate industry events and networking opportunities (Optional) Basic understanding of SEO for lead research and discovery ✅ Nice-to-Have Prior experience in cold outreach, sales, or lead generation Knowledge of LinkedIn Sales Navigator and social selling Experience with X (Twitter) for business development Customer service experience Understanding of B2B sales processes Experience with email marketing tools Phone sales or telemarketing experience Experience with qualification frameworks (BANT, MEDDIC, etc.) Experience from Marketing & Branding, IT Services, Web3, Blockchain, Fintech, Finance & Investment, or Crypto sectors Career Progression & Growth Opportunities Performance-based advancement: Opportunity for full-time conversion based on results and business needs. Cross-functional exposure to marketing, product, and customer success teams Industry expertise building through continuous market research and client interaction Leadership development through project management and team collaboration opportunities Job Types: Full-time, Part-time, Permanent, Internship Contract length: 6 months Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Jasola, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Language: English (Required) Shift availability: Day Shift (Required) Willingness to travel: 25% (Required) Work Location: In person

Job Title: Sales & Lead Generation Associate (Intern) Location: Remote (Work from Home) Job Type: Internship Experience Level: Minimum 1 Year (Freelance/Startup/Agency experience accepted) Stipend: ₹5,000/month (Fixed) + Performance-Based Incentives (Bonus based on number of qualified leads) Start Date: Immediate Duration: 3 Months (Extension or PPO based on performance) About Flashfire Private Limited Flashfire is a career-tech startup helping students secure jobs faster by leveraging automation, AI-driven resume optimization, and bulk job application workflows. We blend technology with placement strategy to help candidates reach the right opportunities — at scale. Role Overview We are seeking a dedicated Lead Generation Specialist Intern with hands-on experience in generating high-quality leads through LinkedIn outreach and email marketing. The ideal candidate understands B2C funnels, has worked with outreach or lead generation tools, and thrives in fast-paced, target-driven environments. The candidate should also be willing to work overtime when required to meet deadlines and lead targets. Key Responsibilities Execute targeted lead generation campaigns via LinkedIn and email marketing Create and manage outreach sequences using automation tools Conduct personalized follow-ups to increase conversion rates Track and manage leads using spreadsheets and CRM platforms Collaborate with the growth team to refine messaging and targeting Share weekly performance reports on outreach metrics and lead quality Continuously optimize lead generation strategies for better efficiency and results Requirements Minimum 1 year of experience in lead generation or growth roles Proven track record of generating B2C leads via LinkedIn and email campaigns Strong written communication and attention to detail Experience with CRM tools, LinkedIn Sales Navigator, or email automation platforms Ability to work independently and meet lead targets Comfortable working overtime when necessary to meet performance goals Familiarity with reporting tools and Excel/Google Sheets Preferred Skills Experience with cold outreach tools (e.g., Instantly, Lemlist, Apollo, etc.) Understanding of lead scoring, segmentation, and targeting techniques Exposure to startup environments and early-stage growth campaigns Knowledge of A/B testing strategies for improving outreach performance Education Bachelor’s degree (pursuing or completed) in Business, Marketing, Communications, or a related field. Equivalent hands-on experience in lead generation roles is also accepted. For queries, contact: feedback.flashfire@gmail.com

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team The primary role of the Senior Advisor (Investigator) is to lead investigations where potential violations of the Corporation’s Standards of Business Conduct policies and procedures may have occurred. What you will do Responsibilities Scope The Audit function has primary responsibility for investigating potential reportable irregularities with respect to violations of the Corporation’s Standards of Business Conduct. The key areas for which Audit have responsibility are violations relating to the following policies: Ethics Conflicts of Interest Corporate Assets Directorships Gifts and Entertainment The Senior Advisor will be responsible for coordinating and carrying out the investigation of potential irregularities in collaboration with both the iADM and AAM in whose portfolio the investigation resides. This will include: Consulting with other staff groups such as HR, Security and Law to determine who will direct an investigation, who will lead it, resources required etc. Conducting investigations and interviews What will you do con.. Recommending whether there has been a violation or the investigation should be treated as a “no-bill” Reviewing comparable cases in order to recommend appropriate disciplinary action Preparation of investigations summaries for review with Audit and business line management Preparing materials for and coordinating monthly status update meetings with the Functional General Auditors on open investigations On occasions, the Senior Advisor will assist other Audit regions on investigations requiring additional resources. The Senior Advisor will also work on Special Reviews, Management Requests and other projects as scheduled. In addition, it is possible the Senior Advisor may be required to participate in or lead certain audits where there is a special need or resource requirement. Investigations Center of Expertise The Senior Advisor will also participate in Audit’s Investigations Center of Expertise (COE) to facilitate the consistent application of Internal Audit Global Standards and Practices for conducting investigations and making decisions on the reporting of incidents. This may include participating in initiatives to develop investigative best practices and the development of recommendations of new or revised policies and procedures. Training The Senior Advisor may become involved in various training activities such as assisting in the teaching of Audit’s Investigations training course, or periodic refresher training for Audit management and Risk and Controls personnel. About You Skills and Qualifications Bachelor degree from a recognized university scoring CGPA 6.0 and above At least 3 years of experience in responsible roles in Quality Management and coordination of quality surveillance / inspection activities for projects in the Oil and Gas Industry Analytical – ability to take data from a variety of internal and external sources and gain insights from it using technology; understands when information might be missing or incomplete and works to obtain it Communication – able to communicate effectively verbally and in writing; able to distill complex matters into terms that understable at all levels of the organization; able to confidently communicate with senior management Courage of Conviction – able to robustly defend decisions taken in respect of Investigations using factual information and also understands when to escalate Tenacious – works to ensure that all key information is gathered in a timely manner; analysis is detailed and complete and that decisions are based upon facts that have been robustly tests; in instances where barriers exist to achieving those goals works professionally to remove those barriers About You Cont......... Emotional Intelligence – able to appropriately and professionally respond to challenging situations Creativity – approaches investigation work creatively considering a variety of options for gathering and analysing data that aims to maximise investigation effectiveness Collaboration – collaborates effectively within Internal Audit and with a variety of subject matter experts and organizations including HR, Law, Security and Risk and Controls to progress Investigation work to conclusion. Integrity – demonstrates unquestionable integrity Initiative - Able to work under own initiative to progress investigation cases while respecting legal and regulatory constraints Manages Risk – applies a risk based approach to their work considering the potential exposures presented by the matter at hand Policies - Strong foundation in ExxonMobil core policies Experience - Broad company experience having held a variety of roles; Internal Audit experience is a bonus but not a requirement Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Location: Kochi, Kerala Job Type: Full-time Platforms: Google Ads, Meta (Facebook & Instagram), LinkedIn Ads Vertical: Premium Real Estate/OEM Salary: Skill/Performance/Experience based Job Overview We are seeking a highly analytical, tactical, and ROI-focused Performance Marketing Specialist to manage, optimize, and scale high-budget paid media campaigns for premium real estate projects in Kerala. The ideal candidate must be adept in multi-platform media buying, advanced remarketing strategies, data-driven optimization, AI tools for targeting and reporting, and full-funnel performance measurement. Key Responsibilities 1. Media Planning & Execution Develop platform-specific, high-impact media plans across Google Ads (Search, Display, Discovery, YouTube), Meta Ads, and LinkedIn Ads. Execute end-to-end campaign setups including audience segmentation, ad creatives alignment, bid strategy configuration, and budget pacing aligned with project sales cycles. Own the entire lead generation funnel , with deep focus on cost per qualified lead (CPQL) and conversion to site visit & booking . 2. Advanced Retargeting & Funnel Building Design and implement multi-touch retargeting frameworks using custom audiences, dynamic product ads, CRM integrations, and behavioral segmentation. Build sequential remarketing flows using first-party data, pixel events, CRM data syncing (HubSpot, Salesforce, Zoho), and lead scoring models. Leverage Google’s Enhanced Conversions and Facebook’s Conversion API to track offline conversions and close the attribution gap. 3. Programmatic & AI Integration Implement programmatic media strategies via Display & Video 360 or other DSPs (if applicable) to target high-intent real estate buyers. Integrate AI tools (ChatGPT for ad copy generation, Midjourney/DALL·E for creative assistance, and predictive modeling via ML platforms like BigQuery ML or Data Studio AI). Use performance automation scripts in Google Ads (e.g., budget pacing alerts, anomaly detection) and custom rules in Meta for bid/budget optimization. 4. Analytics & Reporting Set up end-to-end tracking with Google Tag Manager, GA4, Meta Pixel, LinkedIn Insight Tag , and CRM conversion syncing. Build real-time dashboards in Google Looker Studio / Tableau for management-level performance visibility. Perform weekly deep dives using attribution models (data-driven, position-based) and multi-touch attribution systems to identify performance patterns and scale winners. 5. CRO & Landing Page Collaboration Work closely with UI/UX and development teams to implement conversion rate optimization strategies —heatmaps, A/B testing, scroll-depth analysis. Optimize landing pages for mobile-first engagement , load speed, form UX, and CTA clarity. Drive experimentation with lead forms vs. WhatsApp vs. click-to-call vs. LP redirects based on intent tiers. 6. Platform & Budget Governance Manage ₹60L monthly ad budget with strict performance tracking and pacing adherence. Conduct platform-level audits and quality score optimizations to reduce CPCs and maximize impressions share in high-competition geo-zones like Kochi, Calicut, Trivandrum. Work with Meta Business Suite, Ads Manager, Google Ads Editor, Campaign Manager 360, and LinkedIn Campaign Manager. Required Skills & Qualifications 3-5 years of performance marketing experience , preferably in the real estate, luxury, or high-ticket vertical. Hands-on expertise in Google Ads (Search, PMax, Display, YouTube) , Meta Ads (CAPI setup, advanced lookalikes, A/B testing) , and LinkedIn Ads (lead gen + InMail strategies) . Proficient in Google Analytics 4 , Google Tag Manager , Looker Studio , and advanced Excel/Sheets modeling . Strong understanding of audience strategy , intent signals , offline conversion tracking , and cross-platform attribution . Familiarity with marketing automation platforms (e.g., Zapier, HubSpot workflows), CRM syncing, and lead validation systems. Comfort with AI tools for media ops , including scripted automations , creative generation , and insights extraction. Experience with Kerala real estate audiences, NRIs, and investor segments is a strong plus. Desirable Add-Ons Google Ads, Meta Blueprint, or LinkedIn Ads Certifications. Working knowledge of APIs for data extraction (Google Ads API, Meta Marketing API). Exposure to native ads , OTT platforms , and hyperlocal platforms like Justdial, Sulekha, etc. Prior experience managing agency/creative/CRM partners. KPIs You’ll Be Measured On Cost per Quality Lead (CPQL) Lead to Site Visit Ratio ROAS (where applicable) Conversion Rate (LP) First Response TAT Budget Efficiency Ratio Retargeting Funnel Conversion Rate If you think you have the skill sets and experience necessary, please apply. We'll be looking for case studies and brand growth, lead generation verification as a part of the hiring process.

Software Architect Location: Sector 63, Gurgaon (On‑site) Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 8–12 years in scalable software design, with significant ownership of cloud‑native, data‑intensive, or AI‑driven products Apply: careers@darwix.ai Subject Line: Application – Software Architect – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform transforming how enterprise sales, service, and field teams operate across India, MENA, and Southeast Asia. Our products— Transform+ , Sherpa.ai , and Store Intel —deliver multilingual speech‑to‑text pipelines, live agent coaching, behavioural scoring, and computer‑vision insights for brands such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by leading VCs and built by alumni from IIT, IIM, and BITS, we are scaling rapidly and require a robust architectural foundation for continued global growth. Role Overview The Software Architect will own the end‑to‑end technical architecture of Darwix AI’s platform—spanning real‑time voice processing, generative‑AI services, analytics dashboards, and enterprise integrations. You will define reference architectures, lead critical design reviews, and partner with engineering, AI research, DevOps, and product teams to ensure the platform meets stringent requirements on scalability, latency, security, and maintainability. Key ResponsibilitiesArchitectural Ownership Define and evolve the platform architecture covering microservices, API gateways, data pipelines, real‑time streaming, and storage strategies. Establish design patterns for integrating LLMs, speech‑to‑text engines, vector databases, and retrieval‑augmented generation pipelines. Create and maintain architecture artefacts—logical and physical diagrams, interface contracts, data flow maps, threat models. Scalability & Reliability Specify non‑functional requirements (latency, throughput, availability, observability) and drive their implementation. Guide decisions on sharding, caching, queueing, and auto‑scaling to handle spikes in concurrent calls and AI inference workloads. Collaborate with DevOps on HA/DR strategies, cost‑optimised cloud deployments, and CI/CD best practices. Technical Leadership Lead design reviews, code reviews, and proof‑of‑concepts for complex modules (speech pipelines, RAG services, dashboard analytics). Mentor senior and mid‑level engineers on clean architecture, domain‑driven design, and testability. Evaluate new tools, frameworks, and open‑source components; build decision matrices for adoption. Security & Compliance Set architectural guardrails for authentication, authorisation, encryption, and data residency. Support infosec questionnaires and client audits by providing architecture and data‑flow evidence. Ensure alignment with industry standards (SOC 2, GDPR where applicable) in design and implementation. Cross‑Functional Collaboration Work with Product and AI leadership to translate business requirements into well‑scoped, feasible technical solutions. Engage with customer‑facing solution architects to map client environments to Darwix AI components. Drive architectural alignment across multiple engineering pods to avoid duplication and technical debt. Required Skills & Qualifications 8–12 years in backend or full‑stack engineering, with at least 3 years in an architecture or principal engineer role. Deep expertise in Python/Node.js , microservices, REST/gRPC APIs, and event‑driven architectures (Kafka/Redis Streams). Strong knowledge of cloud platforms (AWS or GCP), container orchestration (Docker/Kubernetes), and IaC tools. Experience designing data platforms with PostgreSQL, MongoDB, Redis, S3 , and vector databases (FAISS/Pinecone). Proven ability to optimise for high‑concurrency, low‑latency audio or data‑streaming workloads. Demonstrated track record of guiding teams through major refactors, migrations, or greenfield platform builds. Preferred Qualifications Familiarity with speech processing stacks (Whisper, Deepgram), LLM orchestration (LangChain), and GPU inference serving. Exposure to enterprise integrations with CRMs (Salesforce, Zoho), telephony (Twilio, Exotel), and messaging APIs (WhatsApp). Prior experience in a high‑growth SaaS or AI startup serving international enterprise clients. Bachelor’s or Master’s degree in Computer Science or related discipline from a Tier 1 institution. Success Metrics (First 12 Months) Architectural blueprints ratified and adopted across all engineering squads. Achieve target latency and uptime SLAs (≥ 99.99 %) for real‑time AI services. Reduction of production incidents attributable to architectural debt or design gaps. Completion of at least one major scalability initiative (e.g., regional multitenancy, GPU inference pool, streaming upgrade). Positive feedback from engineering teams on clarity and usability of architectural guidelines. Who You Are A systems thinker who balances immediate product deadlines with long‑term platform health. A pragmatic technologist: you know when to refactor, when to extend, and when to build net‑new. A persuasive communicator comfortable explaining complex designs to engineers, product managers, and clients. A mentor and collaborator who raises the technical bar through example and feedback. Motivated by building resilient architectures that power real‑world AI products at scale. How to Apply Send your résumé and (optionally) architectural portfolio links to careers@darwix.ai Subject: Application – Software Architect – [Your Name] Join Darwix AI to architect the next generation of real‑time, multilingual conversational intelligence platforms and leave a lasting impact on how global enterprises drive revenue with AI.

Applied Machine Learning Scientist – Voice AI, NLP & GenAI Applications Location : Sector 63, Gurugram, Haryana – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–7 years in applied ML, with at least 2 years focused on voice, NLP, or GenAI deployments Function : AI/ML Research & Engineering | Conversational Intelligence | Real-time Model Deployment Apply : careers@darwix.ai Subject Line : “Application – Applied ML Scientist – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform transforming how enterprise sales, support, and credit teams engage with customers. Our proprietary AI stack ingests data across calls, chat, email, and CCTV streams to generate: Real-time nudges for agents and reps Conversational analytics and scoring to drive performance CCTV-based behavior insights to boost in-store conversion We’re live across leading enterprises in India and MENA, including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar , and others. We’re backed by top-tier operators and venture investors and scaling rapidly across multiple verticals and geographies. Role Overview We are looking for a hands-on, impact-driven Applied Machine Learning Scientist to build, optimize, and productionize AI models across ASR, NLP, and LLM-driven intelligence layers . This is a core role in our AI/ML team where you’ll be responsible for building the foundational ML capabilities that drive our real-time sales intelligence platform. You will work on large-scale multilingual voice-to-text pipelines, transformer-based intent detection, and retrieval-augmented generation systems used in live enterprise deployments. Key ResponsibilitiesVoice-to-Text (ASR) Engineering Deploy and fine-tune ASR models such as WhisperX, wav2vec 2.0, or DeepSpeech for Indian and GCC languages Integrate diarization and punctuation recovery pipelines Benchmark and improve transcription accuracy across noisy call environments Optimize ASR latency for real-time and batch processing modes NLP & Conversational Intelligence Train and deploy NLP models for sentence classification, intent tagging, sentiment, emotion, and behavioral scoring Build call scoring logic aligned to domain-specific taxonomies (sales pitch, empathy, CTA, etc.) Fine-tune transformers (BERT, RoBERTa, etc.) for multilingual performance Contribute to real-time inference APIs for NLP outputs in live dashboards GenAI & LLM Systems Design and test GenAI prompts for summarization, coaching, and feedback generation Integrate retrieval-augmented generation (RAG) using OpenAI, HuggingFace, or open-source LLMs Collaborate with product and engineering teams to deliver LLM-based features with measurable accuracy and latency metrics Implement prompt tuning, caching, and fallback strategies to ensure system reliability Experimentation & Deployment Own model lifecycle: data preparation, training, evaluation, deployment, monitoring Build reproducible training pipelines using MLflow, DVC, or similar tools Write efficient, well-structured, production-ready code for inference APIs Document experiments and share insights with cross-functional teams Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields 3–7 years experience applying ML in production, including NLP and/or speech Experience with transformer-based architectures for text or audio (e.g., BERT, Wav2Vec, Whisper) Strong Python skills with experience in PyTorch or TensorFlow Experience with REST APIs, model packaging (FastAPI, Flask, etc.), and containerization (Docker) Familiarity with audio pre-processing, signal enhancement, or feature extraction (MFCC, spectrograms) Knowledge of MLOps tools for experiment tracking, monitoring, and reproducibility Ability to work collaboratively in a fast-paced startup environment Preferred Skills Prior experience working with multilingual datasets (Hindi, Arabic, Tamil, etc.) Knowledge of diarization and speaker separation algorithms Experience with LLM APIs (OpenAI, Cohere, Mistral, LLaMA) and RAG pipelines Familiarity with inference optimization techniques (quantization, ONNX, TorchScript) Contribution to open-source ASR or NLP projects Working knowledge of AWS/GCP/Azure cloud platforms What Success Looks Like Transcription accuracy improvement ≥ 85% across core languages NLP pipelines used in ≥ 80% of Darwix AI’s daily analyzed calls 3–5 LLM-driven product features delivered in the first year Inference latency reduced by 30–50% through model and infra optimization AI features embedded across all Tier 1 customer accounts within 12 months Life at Darwix AI You will be working in a high-velocity product organization where AI is core to our value proposition. You’ll collaborate directly with the founding team and cross-functional leads, have access to enterprise datasets, and work on ML systems that impact large-scale, real-time operations. We value rigor, ownership, and speed. Model ideas become experiments in days, and successful experiments become deployed product features in weeks. Compensation & Perks Competitive fixed salary based on experience Quarterly/Annual performance-linked bonuses ESOP eligibility post 12 months Compute credits and model experimentation environment Health insurance, mental wellness stipend Premium tools and GPU access for model development Learning wallet for certifications, courses, and AI research access Career Path Year 1: Deliver production-grade ASR/NLP/LLM systems for high-usage product modules Year 2: Transition into Senior Applied Scientist or Tech Lead for conversation intelligence Year 3: Grow into Head of Applied AI or Architect-level roles across vertical product lines How to Apply Email the following to careers@darwix.ai : Updated resume (PDF) A short write-up (200 words max): “How would you design and optimize a multilingual voice-to-text and NLP pipeline for noisy call center data in Hindi and English?” Optional: GitHub or portfolio links demonstrating your work Subject Line : “Application – Applied Machine Learning Scientist – [Your Name]”

Founding AI Engineer Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 4 – 8 years of hands‑on AI/ML engineering in production environments Apply: careers@darwix.ai Subject Line: Application – Founding AI Engineer – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform transforming how enterprise revenue and service teams operate. Our products— Transform+ , Sherpa.ai , and Store Intel —deliver multilingual speech‑to‑text, live coaching nudges, behavioural scoring, and computer‑vision insights for clients such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by leading investors and built by IIT/IIM/BITS alumni, we are expanding rapidly across India, MENA, and Southeast Asia. Role Overview As the Founding AI Engineer , you will own the design, development, and deployment of Darwix AI’s core machine‑learning and generative‑AI systems from the ground up. You will work directly with the CTO and founders to convert ambitious product ideas into scalable, low‑latency services powering thousands of live customer interactions daily. This is a zero‑to‑one, high‑ownership role that shapes the technical backbone—and the culture—of our AI organisation. Key Responsibilities End‑to‑End Model Build & Deployment Architect, train, and fine‑tune multilingual speech‑to‑text, diarisation, NER, summarisation, and scoring models (Whisper, wav2vec 2.0, transformer‑based NLP). Design RAG pipelines and prompt‑engineering frameworks with commercial and open‑source LLMs (OpenAI, Mistral, Llama 2). Build GPU/CPU‑optimised inference micro‑services in Python/FastAPI with strict latency budgets. Production Engineering Implement asynchronous processing, message queues, caching, and load balancing for high‑concurrency voice and text streams. Establish CI/CD, model versioning, A/B testing, and automated rollback for ML APIs. Data Strategy & Tooling Define data‑collection, labelling, and active‑learning loops; build pipelines for continuous model improvement. Create evaluation harnesses (WER, ROUGE, AUROC, latency) and automate nightly regression tests. Security & Compliance Implement role‑based access, encryption‑at‑rest/in‑transit, and audit logging for all AI endpoints. Ensure adherence to enterprise infosec requirements and regional data‑privacy standards. Cross‑Functional Collaboration Partner with product managers to translate customer pain points into technical requirements and success metrics. Work with backend, DevOps, and frontend teams to expose AI outputs via dashboards, APIs, and real‑time agent assist overlays. Technical Leadership Establish coding standards, documentation templates, and peer‑review culture for the AI team. Mentor junior engineers as the team scales; influence hiring and tech‑stack decisions. Required Skills & Qualifications 4 – 8 years building and deploying ML systems in production (audio, NLP, or LLM focus). Expert‑level Python; strong grasp of PyTorch (or TensorFlow), Hugging Face Transformers, and data‑processing libraries. Proven record of optimising inference pipelines for sub‑second latency at scale. Hands‑on experience with cloud infrastructure (AWS or GCP), Docker/Kubernetes, and CI/CD for ML. Deep understanding of REST/gRPC APIs, security best practices, and high‑availability architectures. Ability to articulate trade‑offs and align technical decisions with business outcomes. Preferred Experience Prior work on Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with vector databases (Pinecone, FAISS), Redis Streams/Kafka, and GPU orchestration (Triton, TorchServe). Exposure to sales‑tech, call‑centre analytics, or real‑time coaching platforms. Contributions to open‑source AI projects or relevant peer‑reviewed publications. Success Metrics (First 12 Months) ≥ 25 % reduction in transcription error rate or latency across core languages. Two net‑new AI modules shipped to production and adopted by Tier‑1 clients. Robust CI/CD and monitoring pipelines in place with < 1 % model downtime. Documentation and onboarding playbooks enabling AI team headcount to double without quality loss. Who You Are A builder who takes ideas from whiteboard to production with minimal supervision. A systems thinker who balances algorithmic innovation with engineering pragmatism. A hands‑on leader who codes, mentors, and sets the technical bar through example. A product‑centric technologist who obsesses over user impact, not benchmark vanity. A lifelong learner who follows the bleeding edge of GenAI and applies it wisely. How to Apply Email your résumé to careers@darwix.ai with the subject line specified above. Optionally, include a brief note detailing an AI system you have designed and deployed, the challenges faced, and the measurable impact achieved. Joining Darwix AI as the Founding AI Engineer means taking ownership of the platform that will redefine how revenue teams worldwide leverage real‑time intelligence. If you are ready to build, scale, and lead at the frontier of GenAI, we look forward to hearing from you.

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]”

About the Role : Interlinkages Limited is hiring Credit Research Analysts, based at its Gurugram office for its Credence Data Services business (https://www.credencedata.com/) which provides Business Information reports on Cross Border Trade counterparties to Banks, Companies and institutions. The successful candidate will be responsible for gathering, analyzing, and disseminating annual reports and other relevant company information from registries and official records for over 200 countries. This role is ideal for someone with experience in spreading financial data, particularly within BPOs and KPOs, and who has worked for overseas clients in the financial industry. As a Credit Research Analyst, your primary role will be to research, evaluate and analyze business and credit information to generate credit reports and scores for companies. Your insights and expertise will support decision-making processes and help mitigate performance and payment risks. Key Responsibilities Collect and review annual reports, financial statements, and other official documents from company registries and databases. Analyze financial data and company performance metrics to generate insightful reports. Collate key data points through official sources and web research Perform data entry into our system with high accuracy where needed or check system generated output in case of system integrations. Ensure timely delivery of reports and data within short deadlines. Assess creditworthiness and provide accurate and reliable credit information to clients, including lenders, financial institutions, and other organizations. Requirements: Education: Bachelor's degree in Finance, Accounting or a professional degree like CA, MBA . CA Intermediate can also apply Experience: 2-3 years of previous experience in credit analysis, financial spreading, risk assessment, credit underwriting, Corporate banking or a related field is preferred. Experience in spreading financial data, particularly within BPOs and KPOs will be preferred. Freshers with degree in Finance, Business or Commerce can apply. Basic understanding of financial statements and corporate reporting is essential. Attention to Detail: This is the most important requirement. Strong attention to detail to ensure accuracy and precision in credit evaluations, reports, and scoring assignments. Analytical Skills: Proficiency in analyzing credit data, financial statements, and credit reports to identify credit risks, trends, and patterns. Strong quantitative and qualitative analysis skills are essential. Communication Skills: Good written communication skills to convey analysis findings, reports, and scores effectively. Computer Skills: Proficiency in using credit analysis software, spreadsheet applications, and data analysis tools. Knowledge of statistical software and databases is an advantage. Time Management: Ability to manage multiple report assignments, prioritize tasks, and meet deadlines in a fast-paced environment. Important Details 1. This is a full time role (9.30AM- 6PM) in Gurugram and work from office for at least 4 days a week. Only people based in Gurugram should apply. 2. We work 5 days a week and Sunday can be a workday based on customer location. Please apply only if you can work on Sunday with weekly off on Saturday and Friday. 3. We need to fill this position immediately. Please apply only if you are available to join within 15-30 days.

Job Description: Sales Telecaller Head Position Overview: We are seeking an experienced Sales Telecaller Head to lead our inside sales team and drive revenue growth. Key Responsibilities Sales Strategy & Pitch Development Develop and continuously refine sales scripts and pitch strategies for different customer segments Analyze call performance data to identify successful techniques and areas for improvement Train team Monitor market trends and competitor activities to adapt sales messaging Lead Management Systems Implement and optimize CRM systems for efficient lead tracking and management Establish lead scoring criteria and qualification processes Design lead distribution workflows to maximize conversion rates Create follow-up sequences and nurturing campaigns for different lead types Ensure data quality and maintain accurate lead database Generate lead performance analytics and conversion reports Team Leadership & Development Recruit, hire, and onboard new telecaller team members Conduct regular training sessions on sales techniques, product knowledge, and communication skills Provide ongoing coaching and mentorship to improve individual performance Set clear performance targets and conduct regular performance reviews Create career development paths and skill enhancement programs Foster a positive, competitive team environment focused on results Reporting & Analytics Develop comprehensive reporting dashboards for daily, weekly, and monthly performance metrics Track key performance indicators including call volume, conversion rates, and revenue per caller Prepare executive reports on team performance, market insights, and growth opportunities Conduct regular pipeline reviews and forecasting activities Analyze customer feedback and call recordings to identify improvement areas Operational Excellence Establish quality assurance processes and call monitoring protocols Optimize calling schedules and territory management for maximum efficiency Coordinate with marketing teams to ensure lead quality and campaign effectiveness Collaborate with product teams to provide market feedback and customer insights Manage team schedules, targets, and resource allocation Required Qualifications Experience & Education: Bachelor's degree in Business, Marketing, or related field 5-7 years of sales experience Proven track record of exceeding sales targets and managing high-performing teams Experience with CRM systems. Strong background in B2B or B2C telecalling operations.

Principal Software Engineer – AI Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 6–10 years of hands-on development in AI/ML systems, with deep experience in shipping production-grade AI products Apply at : careers@darwix.ai Subject Line : Application – Principal Software Engineer – AI – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how large sales and CX teams operate across India, MENA, and Southeast Asia. We build deeply integrated conversational intelligence and agent assist tools that enable: Multilingual speech-to-text pipelines Real-time agent coaching AI-powered sales scoring Predictive analytics and nudges CRM and telephony integrations Our clients include leading enterprises like IndiaMart, Bank Dofar, Wakefit, GIVA, and Sobha , and our product is deeply embedded in the daily workflows of field agents, telecallers, and enterprise sales teams. We are backed by top VCs and built by alumni from IIT, IIM, and BITS with deep expertise in real-time AI, enterprise SaaS, and automation. Role Overview We are hiring a Principal Software Engineer – AI to lead the development of advanced AI features in our conversational intelligence suite. This is a high-ownership role that combines software engineering, system design, and AI/ML application delivery. You will work across our GenAI stack—including Whisper, LangChain, LLMs, audio streaming, transcript processing, NLP pipelines, and scoring models—to build robust, scalable, and low-latency AI modules that power real-time user experiences. This is not a research role. You will be building, deploying, and optimizing production-grade AI features used daily by thousands of sales agents and managers across industries. Key Responsibilities 1. AI System Architecture & Development Design, build, and optimize core AI modules such as: Multilingual speech-to-text (Whisper, Deepgram, Google STT) Prompt-based LLM workflows (OpenAI, open-source LLMs) Transcript post-processing: punctuation, speaker diarization, timestamping Real-time trigger logic for call nudges and scoring Build resilient pipelines using Python, FastAPI, Redis, Kafka , and vector databases 2. Production-Grade Deployment Implement GPU/CPU-optimized inference services for latency-sensitive workflows Use caching, batching, asynchronous processing, and message queues to scale real-time use cases Monitor system health, fallback workflows, and logging for ML APIs in live environments 3. ML Workflow Engineering Work with Head of AI to fine-tune, benchmark, and deploy custom models for: Call scoring (tone, compliance, product pitch) Intent recognition and sentiment classification Text summarization and cue generation Build modular services to plug models into end-to-end workflows 4. Integrations with Product Modules Collaborate with frontend, dashboard, and platform teams to serve AI output to users Ensure transcript mapping, trigger visualization, and scoring feedback appear in real-time in the UI Build APIs and event triggers to interface AI systems with CRMs, telephony, WhatsApp, and analytics modules 5. Performance Tuning & Optimization Profile latency and throughput of AI modules under production loads Implement GPU-aware batching, model distillation, or quantization where required Define and track key performance metrics (latency, accuracy, dropout rates) 6. Tech Leadership Mentor junior engineers and review AI system architecture, code, and deployment pipelines Set engineering standards and documentation practices for AI workflows Contribute to planning, retrospectives, and roadmap prioritization What We’re Looking For Technical Skills 6–10 years of backend or AI-focused engineering experience in fast-paced product environments Strong Python fundamentals with experience in FastAPI, Flask , or similar frameworks Proficiency in PyTorch , Transformers , and OpenAI API/LangChain Deep understanding of speech/text pipelines, NLP, and real-time inference Experience deploying LLMs and AI models in production at scale Comfort with PostgreSQL, MongoDB, Redis, Kafka, S3 , and Docker/Kubernetes System Design Experience Ability to design and deploy distributed AI microservices Proven track record of latency optimization, throughput scaling, and high-availability setups Familiarity with GPU orchestration, containerization, CI/CD (GitHub Actions/Jenkins), and monitoring tools Bonus Skills Experience working with multilingual STT models and Indic languages Knowledge of Hugging Face, Weaviate, Pinecone, or vector search infrastructure Prior work on conversational AI, recommendation engines, or real-time coaching systems Exposure to sales/CX intelligence platforms or enterprise B2B SaaS Who You Are A pragmatic builder—you don’t chase perfection but deliver what scales A systems thinker—you see across data flows, bottlenecks, and trade-offs A hands-on leader—you mentor while still writing meaningful code A performance optimizer—you love shaving off latency and memory bottlenecks A product-focused technologist—you think about UX, edge cases, and real-world impact What You’ll Impact Every nudge shown to a sales agent during a live customer call Every transcript that powers a manager’s coaching decision Every scorecard that enables better hiring and training at scale Every dashboard that shows what drives revenue growth for CXOs This role puts you at the intersection of AI, revenue, and impact —what you build is used daily by teams closing millions in sales across India and the Middle East. How to Apply Send your resume to careers@darwix.ai Subject Line: Application – Principal Software Engineer – AI – [Your Name] (Optional): Include a brief note describing one AI system you've built for production—what problem it solved, what stack it used, and what challenges you overcame. If you're ready to lead the AI backbone of enterprise sales , build world-class systems, and drive real-time intelligence at scale— Darwix AI is where you belong.

Solutions Architect Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 4–8 years in enterprise solution engineering, sales engineering, or product/solution consulting in SaaS/AI setups Apply at : careers@darwix.ai Subject Line : Application – Solutions Architect – [Your Name] About Darwix AI Darwix AI is a leading GenAI SaaS platform that powers real-time sales intelligence and automation for enterprise sales, CX, and field teams. Our solutions include multilingual speech-to-text, agent scoring, real-time nudges, deep CRM/LOS integration, and actionable sales analytics. We are used by some of the most respected brands including IndiaMart, Wakefit, GIVA, Sobha, Bank Dofar , and others across India, MENA, and Southeast Asia. Our stack spans AI/ML models (Whisper, LangChain, etc.), real-time voice pipelines, scalable analytics dashboards, and deep API integrations with CRM, telephony, WhatsApp, and email platforms. We’re backed by leading VCs and a powerhouse team from IIT, IIM, and BITS, and are building the next generation of revenue enablement solutions. Role Overview As a Solutions Architect , you will be the technical face of Darwix AI for enterprise clients—working across sales, product, and engineering teams to design, configure, and deploy tailored solutions. You will lead discovery sessions, scope technical integrations, create scalable solution blueprints, and ensure successful implementation of Darwix AI’s GenAI products for global clients. This is a hybrid role combining pre-sales engineering, solutioning, customer onboarding, and technical success —critical for accelerating deal closures and reducing time-to-value for enterprise accounts. Key Responsibilities 1. Pre-Sales Discovery & Technical Scoping Partner with the sales team in client discovery meetings to understand tech stack, business workflows, and integration requirements Own technical pre-sales conversations: feasibility checks, architecture overviews, security clarifications, and product mapping Build and present tailored solution architectures that align with client requirements, constraints, and objectives 2. Custom Solution Design Translate client needs into productized workflows—leveraging Darwix AI’s modular offerings across speech pipelines, real-time agent assist, scoring engines, and dashboarding Define data flows between client systems and Darwix modules including CRM, LOS, telephony, WhatsApp, cloud storage, and webhooks Create solution architecture diagrams, data schemas, and configuration matrices for internal handover and client alignment 3. Integration Support & Deployment Planning Work with DevOps, product, and client tech teams to facilitate secure integrations, sandbox setups, and production rollouts Own API mapping, data exchange format definitions, and token/auth key validation for client integrations Support post-deployment validation of call triggers, data sync, transcript accuracy, and event logging 4. Client Onboarding & Enablement Guide client onboarding journeys with defined timelines, configuration plans, and technical SLAs Build and deliver custom training documentation and configuration SOPs for client stakeholders Conduct train-the-trainer sessions for client IT/Admin teams 5. Cross-Functional Collaboration Provide technical feedback to product and engineering teams based on client use cases and edge scenarios Contribute to internal solutioning templates, repeatable playbooks, and system configuration guidelines Help build the Darwix solution library for sales, presales, and implementation teams 6. Security, Compliance & Documentation Support client infosec reviews, RFPs, and due diligence processes with architecture documentation and controls Ensure that solution designs adhere to data protection and regulatory requirements (including SOC2, GDPR, etc.) Key Capabilities & Requirements 4–8 years in solution engineering, sales engineering, product consulting, or technical implementation in SaaS, AI/ML, or analytics domains Deep understanding of SaaS architectures, REST APIs, webhooks, data pipelines, and real-time integrations Proficiency in cloud-based systems (AWS/GCP), data formats (JSON, CSV), and system design concepts Prior exposure to enterprise tools such as CRMs (Salesforce, Zoho), telephony platforms (Exotel, Knowlarity), communication APIs (Twilio, WhatsApp), and authentication flows (OAuth, SAML) Ability to create technical documentation, architecture diagrams (using tools like Lucidchart), and integration plans Excellent verbal and written communication—especially in client-facing presentations and documentation Strong project management, time estimation, and multi-tasking ability in high-growth environments Preferred Qualifications Experience in voice-based solutions (Speech-to-Text, Call Analytics, Real-Time Agent Assist) Experience working with BFSI, real estate, or healthcare enterprise clients Understanding of data privacy laws and enterprise security requirements Bachelor’s degree in Engineering, Computer Science, or related field (Tier 1 institute preferred) Experience in a high-growth B2B SaaS environment or client-facing consulting firm You’ll Thrive in This Role If You Enjoy interfacing directly with customers to solve real-world challenges using AI and automation Are as comfortable talking to CTOs as you are working with internal engineers and product managers Love taking ownership of solution design and delivery—across discovery, documentation, and deployment Thrive in a fast-paced startup setting where you work cross-functionally and think on your feet Believe that great implementation is as important as great product design How to Apply Send your CV to careers@darwix.ai Subject Line: Application – Solutions Architect – [Your Name] (Optional): In your email, briefly outline a technical project or implementation you’ve led for an enterprise client—what was the challenge, the solution, and the outcome. If you’re ready to be the backbone of AI-powered enterprise solutioning, and love the balance of tech, communication, and ownership— this is your role.

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

Vice President – Engineering Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 10–15 years in full-stack engineering, with at least 4+ years in a senior leadership role in SaaS/AI platforms Apply at : careers@darwix.ai Subject Line : Application – VP Engineering – [Your Name] About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS platforms, transforming enterprise revenue teams with real-time conversational intelligence and AI-powered sales enablement tools. Our core product suite powers: Multilingual speech-to-text Real-time agent coaching & nudges Automated scoring of sales calls CRM/LOS integrations Analytics dashboards and more Our clients include leading brands in BFSI, real estate, retail, and healthcare , such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA . We operate across India, MENA, and Southeast Asia, and are backed by marquee investors, industry CXOs, and IIT/IIM/BITS alumni. As we scale to become the backbone of revenue intelligence globally, engineering excellence is the cornerstone of our journey. Role Overview We are looking for a visionary and hands-on Vice President – Engineering who will take end-to-end ownership of our technology stack, engineering roadmap, and team. You will be responsible for architecting scalable GenAI-first systems , driving high-velocity product shipping, ensuring enterprise-grade reliability, and building a high-performing engineering culture. This role requires strategic thinking, hands-on execution, deep experience with AI/ML or data-intensive platforms, and the ability to attract and retain top-tier engineering talent. You will work closely with the CEO, Head of AI/ML, Product, and Founder's Office to deliver robust, secure, and intelligent experiences across web and real-time systems. Key Responsibilities 1. Technology Leadership Define and drive the technology vision, architecture, and roadmap across AI, platform, data, and frontend systems Lead system architecture design for speech processing, real-time audio streaming, LLM-based agents, and multilingual interfaces Ensure engineering best practices: microservices design, scalability, uptime SLAs, and test automation 2. Team Building & People Leadership Build, mentor, and scale a high-performance engineering team including backend, frontend, AI, DevOps, QA, and integrations Instill a culture of ownership, fast iteration, performance reviews, and deep collaboration across teams Define career paths, recruit top-tier talent, and drive technical onboarding and coaching 3. Product Execution & Delivery Work with Product, Founders, and Sales Engineering to translate business needs into scalable technical implementations Own timelines, sprint planning, delivery schedules, and development velocity metrics Ensure security, latency, fault tolerance, and compliance across all releases 4. Platform & Infra Ownership Oversee cloud infrastructure on AWS (or GCP), containerization, CI/CD pipelines, observability, and cost optimization Own DevOps, uptime, disaster recovery, and horizontal scaling for high concurrency needs Manage data engineering and database architecture across PostgreSQL, MongoDB, S3, Redis, and vector DBs 5. AI/ML & GenAI Integration Work closely with Head of AI/ML on integrating Whisper, LangChain, custom RAG pipelines, and multilingual inference stacks into production systems Translate AI/ML research into performant APIs, stream pipelines, and real-time inference microservices Ensure optimized GPU/CPU utilization, caching, and latency control on real-time AI modules 6. Client-Facing & Sales Support Support enterprise pre-sales and post-sales engineering for large deals (in BFSI, real estate, etc.) Handle security reviews, solution architecture walkthroughs, and platform deep dives with client CTO teams Create system documentation, architecture diagrams, and technical solution notes Qualifications & Skills Must-Have 10–15 years of total experience in software engineering, with at least 4–5 years in senior leadership Proven experience scaling a B2B SaaS platform across geographies Deep backend expertise in Python, Node.js, PostgreSQL, MongoDB , microservices Strong understanding of cloud-native development (AWS/GCP), DevOps, CI/CD , and real-time systems Experience managing large-scale, concurrent user bases and low-latency applications Strong understanding of security protocols, enterprise authentication (SAML/OAuth), and compliance Good to Have Exposure to speech-to-text , audio processing, NLP, or GenAI-based inference systems Experience working with AI frameworks (Torch, HuggingFace, LangChain) and GPU inference optimization Familiarity with Flutter , Angular/React , or mobile deployment is a plus Hands-on experience with vector databases, Redis, WebSockets , and scalable caching mechanisms Who You Are You’ve built high-growth engineering teams from scratch or scaled them through 10x growth phases You’ve architected and shipped world-class SaaS systems, preferably with real-time or AI components You balance technical depth with strategic business alignment You lead by influence, feedback, and deep respect—not just authority You’re obsessed with metrics, uptime, shipping velocity, and end-user outcomes You’re energized by fast-paced environments, ambiguous challenges, and clear impact What Success Looks Like in 12 Months A rock-solid engineering team shipping weekly with full CI/CD and 99.99% uptime Near real-time AI inference systems powering multilingual speech and coaching Engineering velocity has doubled, without sacrificing stability Architecture is mature, modular, secure, and scalable across geographies You’ve built strong tech documentation and institutional knowledge systems Product features are built fast, secure, and adopted well by enterprise clients Engineering culture is resilient, hungry, and ready for global scale How to Apply Send your resume to careers@darwix.ai Subject: Application – VP Engineering – [Your Name] (Optional): Include a brief note outlining a high-impact engineering initiative you’ve led and the measurable impact it created. This is not just an engineering leadership role. It’s a rare opportunity to build a generational AI company from the ground up —as the tech backbone for sales teams globally. If you’ve built systems that scale, teams that thrive, and products that change behavior— we’d love to speak with you.

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts.

🧠 Job Title: Senior Machine Learning Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 4–8 years Education : B.Tech / M.Tech / Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields 🚀 About Darwix AI Darwix AI is India's fastest-growing GenAI SaaS startup, building real-time conversational intelligence and agent-assist platforms that supercharge omnichannel enterprise sales teams across India, MENA, and Southeast Asia. Our mission is to redefine how revenue teams operate by using Generative AI, LLMs, Voice AI , and deep analytics to deliver better conversations, faster deal cycles, and consistent growth. Our flagship platform, Transform+ , analyzes millions of hours of sales conversations, gives live nudges, builds AI-powered sales content, and enables revenue teams to become truly data-driven — in real time. We’re backed by marquee investors, industry veterans, and AI experts, and we’re expanding fast. As a Senior Machine Learning Engineer , you will play a pivotal role in designing and deploying intelligent ML systems that power every layer of this platform — from speech-to-text, diarization, vector search, and summarization to recommendation engines and personalized insights. 🎯 Role Overview This is a high-impact, high-ownership role for someone who lives and breathes data, models, and real-world machine learning. You will design, train, fine-tune, deploy, and optimize ML models across various domains — speech, NLP, tabular, and ranking. Your work will directly power critical product features: from personalized agent nudges and conversation scoring to lead scoring, smart recommendations, and retrieval-augmented generation (RAG) pipelines. You’ll be the bridge between data science, engineering, and product — converting ideas into models, and models into production-scale systems with tangible business value. 🧪 Key Responsibilities🔬 1. Model Design, Training, and Optimization Develop and fine-tune machine learning models using structured, unstructured, and semi-structured data sources. Work with models across domains: text classification, speech transcription, named entity recognition, topic modeling, summarization, time series, and recommendation systems. Explore and implement transformer architectures, BERT-style encoders, Siamese networks, and retrieval-based models. 📊 2. Data Engineering & Feature Extraction Build robust ETL pipelines to clean, label, and enrich data for supervised and unsupervised learning tasks. Work with multimodal inputs — audio, text, metadata — and build smart representations for downstream tasks. Automate data collection from APIs, CRMs, sales transcripts, and call logs. ⚙️ 3. Productionizing ML Pipelines Package and deploy models in scalable APIs (using FastAPI, Flask, or similar frameworks). Work closely with DevOps to containerize and orchestrate ML workflows using Docker, Kubernetes, or CI/CD pipelines. Ensure production readiness: logging, monitoring, rollback, and fail-safes. 📈 4. Experimentation & Evaluation Design rigorous experiments using A/B tests, offline metrics, and post-deployment feedback loops. Continuously optimize model performance (latency, accuracy, precision-recall trade-offs). Implement drift detection and re-training pipelines for models in production. 🔁 5. Collaboration with Product & Engineering Translate business problems into ML problems and align modeling goals with user outcomes. Partner with product managers, AI researchers, data annotators, and frontend/backend engineers to build and launch features. Contribute to the product roadmap with ML-driven ideas and prototypes. 🛠️ 6. Innovation & Technical Leadership Evaluate open-source and proprietary LLM APIs, AutoML frameworks, vector databases, and model inference techniques. Drive innovation in voice-to-insight systems (ASR + Diarization + NLP). Mentor junior engineers and contribute to best practices in ML development and deployment. 🧰 Tech Stack🔧 Languages & Frameworks Python (core), SQL, Bash PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost, LightGBM 🧠 ML & AI Ecosystem Transformers, RNNs, CNNs, CRFs BERT, RoBERTa, GPT-style models OpenAI API, Cohere, LLaMA, Mistral, Anthropic Claude FAISS, Pinecone, Qdrant, LlamaIndex ☁️ Deployment & Infrastructure Docker, Kubernetes, GitHub Actions, Jenkins AWS (EC2, Lambda, S3, SageMaker), GCP, Azure Redis, PostgreSQL, MongoDB 📊 Monitoring & Experimentation MLflow, Weights & Biases, TensorBoard, Prometheus, Grafana 👨‍💼 Qualifications🎓 Education Bachelor’s or Master’s degree in CS, AI, Statistics, or related quantitative disciplines. Certifications in advanced ML, data science, or AI are a plus. 🧑‍💻 Experience 4–8 years of hands-on experience in applied machine learning. Demonstrated success in deploying models to production at scale. Deep familiarity with transformer-based architectures and model evaluation. ✅ You’ll Excel In This Role If You… Thrive on solving end-to-end ML problems — not just notebooks, but deployment, testing, and iteration. Obsess over clean, maintainable, reusable code and pipelines. Think from first principles and challenge model assumptions when they don’t work. Are deeply curious and have built multiple projects just because you wanted to know how something works. Are comfortable working with ambiguity, fast timelines, and real-time data challenges. Want to build AI products that get used by real people and drive revenue outcomes — not just vanity demos. 💼 What You’ll Get at Darwix AI Work with some of the brightest minds in AI , product, and design. Solve AI problems that push the boundaries of real-time, voice-first, multilingual enterprise use cases. Direct mentorship from senior architects and AI scientists. Competitive compensation (₹30L–₹45L CTC) + ESOPs + rapid growth trajectory. Opportunity to shape the future of a global-first AI startup built from India. Hands-on experience with the most advanced tech stack in applied ML and production AI. Front-row seat to a generational company that is redefining enterprise AI. 📩 How to Apply Ready to build with us? Send your resume, GitHub/portfolio, and a short write-up on: “What’s the most interesting ML system you’ve built — and what made it work?” Email: people@darwix.ai Subject: Senior ML Engineer – Application 🔐 Final Notes We value speed, honesty, and humility. We ship fast, fail fast, and learn even faster. This role is designed for high-agency, hands-on ML engineers who want to make a difference — not just write code. If you’re looking for a role where you own real impact , push technical boundaries, and work with a team that’s as obsessed with AI as you are — then Darwix AI is the place for you. Darwix AI – GenAI for Revenue Teams. Built from India, for the World.

We are seeking an AI-first Operations Analyst to lead the integration and optimization of AI technologies within the Marketing team. This role is central to scaling intelligent marketing by operationalizing advanced AI/ML models, large language models (LLMs), and generative AI tools to drive growth, efficiency, and personalization across the funnel. Responsibilities AI Systems Implementation: Lead the rollout and integration of AI tools across the marketing tech stack, including platforms like OpenAI, Jasper, HubSpot AI, and custom LLMs. AI-Driven Campaign Optimization: Use AI to automate and continuously optimize digital campaigns, content distribution, lead nurturing, and personalization at scale. LLM Workflow Design & Prompt Engineering: Build and refine workflows powered by large language models (e.g., ChatGPT), enabling automated content generation, audience targeting, and internal knowledge access. Predictive Lead Scoring & Buyer Intent Modeling: Deploy AI/ML models to score leads, predict conversion likelihood, segment audiences dynamically, and route leads intelligently to sales teams. AI Automation & Process Orchestration: Automate marketing processes (e.g., reporting, content tagging, CRM updates) using AI and low-code/no-code tools like Zapier or Make. Insight Generation & Decision Support: Use AI to extract insights from marketing performance data, identify trends, recommend actions, and generate auto-summaries for stakeholders. AI Governance & Model Monitoring: Define guardrails for ethical AI usage in marketing. Track model performance, ensure data privacy compliance, and continuously improve system reliability. Qualifications: Bachelor’s degree in Computer Science, Data Science, Marketing Technology, or a related field. 2+ years of experience in AI operations, marketing technology, or data-driven marketing roles. Required Skills: Ability to build and manage custom APIs to connect disparate tools, automate workflows, and enhance marketing performance. Hands-on skills in Python, SQL, or JavaScript for data transformation and API integration. Experience building intelligent agents or copilots tailored for marketing teams to drive efficiency and insights. Experience in using AI to improve lead scoring, content generation, campaign optimization, or customer segmentation. Benefits: Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company-Sponsored Device Education Reimbursement Policy.

Moodle Developer – LMS Customization & Backend Integration Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience Required : 2–6 years of experience in Moodle development, LMS customization, and backend integration Apply at : careers@darwix.ai Subject Line : Application – Moodle Developer – [Your Name] 🧠 About Darwix AI Darwix AI is India’s fastest-growing GenAI company transforming how large enterprise sales teams operate across India, MENA, and Southeast Asia. Our platform offers multilingual conversational intelligence, voice AI, real-time agent nudges, and AI-powered enablement tools used across BFSI, retail, real estate, and healthcare industries. Our product suite includes real-time call analysis, sales coaching, gamification engines, and learning enablement. To support our expanding customer training ecosystem, we leverage Moodle as our LMS base and are looking for a skilled Moodle Developer to own its configuration, custom plugin development, UI theming, and backend integrations. 🎯 Role Overview We are seeking a Moodle Developer to lead the customization, extension, and maintenance of our learning management system. You will work closely with our product and engineering teams to ensure seamless integration between our AI-powered platform and the Moodle LMS used for onboarding and upskilling large enterprise sales teams. The ideal candidate will have a strong PHP background, expertise in Moodle’s plugin ecosystem, and a practical understanding of SCORM, quiz engines, dashboards, and user workflows within Moodle. 🔧 Key ResponsibilitiesMoodle Customization & Module Development Develop, extend, and maintain custom Moodle plugins , blocks, activities, and themes Customize core Moodle functionalities to align with enterprise training workflows Create new modules or enhance existing ones for gamification , certification , or interactive training assessments Build user roles and workflows tailored to enterprise hierarchies (Admins, Managers, Sales Reps) UI/UX Enhancements Customize Moodle themes and layouts to align with Darwix AI’s brand and design systems Ensure frontend responsiveness and cross-browser compatibility Create intuitive, mobile-friendly UI flows for better adoption by field and sales teams Improve course navigation, onboarding experience, and reporting dashboards Backend & API Integration Integrate Moodle with external systems (CRMs, call scoring engines, analytics dashboards) Work with REST APIs , webhooks , and authentication tokens for cross-system workflows Enable SSO , role-based login redirections, and course access control Support integrations with WhatsApp/email notification systems for learning nudges Data Management & Reporting Set up custom reports , completion dashboards , and progress analytics Handle structured data exports for MIS teams and integrate analytics into Darwix AI dashboards Track quiz responses, assessment scores, and completion logs for certification workflows Maintenance & Support Regularly update Moodle to the latest stable version while preserving customizations Monitor logs, debug errors, and perform patch updates or hotfixes Document all custom modules and system-level configurations Support onboarding of new enterprise clients on customized Moodle instances ✅ Required Skills & Qualifications 2–6 years of hands-on experience with Moodle development and customization Strong proficiency in PHP , MySQL , HTML , CSS , and JavaScript Experience in developing Moodle plugins , themes , and custom blocks Familiarity with Moodle’s core architecture and upgrade cycles Experience integrating Moodle with external systems using REST APIs Basic understanding of SCORM , LTI , and content packaging for LMS use Ability to document and manage source code using Git and follow structured release practices ⚙️ Bonus Skills (Good to Have) Experience in LMS implementation for large enterprises or training institutions Familiarity with mobile-responsive LMS workflows and hybrid app integrations Prior experience working on learning analytics and adaptive learning modules Understanding of Moodle’s caching systems, cron jobs, and performance tuning Experience with video hosting integrations (YouTube, Vimeo, AWS MediaConvert, etc.) 🧬 You’ll Excel in This Role If You: Are passionate about building tools that enhance how people learn and grow Have experience managing large-scale deployments of Moodle across different organizations Enjoy building learning systems that integrate with real-time business tools and CRMs Can operate independently while collaborating with a high-performing engineering team Care about user experience as much as backend logic and customization 📬 How to Apply Send your CV to careers@darwix.ai Subject Line: Application – Moodle Developer – [Your Name] (Optional): Share a Moodle plugin or customization you’ve worked on, and how it improved the learning experience or workflow for end-users. This is your opportunity to work at the intersection of AI, learning enablement, and enterprise software , and build the backbone for upskilling thousands of sales professionals across India and the Middle East. If you’ve built on Moodle before and want to scale your work into a real-time enterprise-grade product— we’d love to speak with you.

Job Requirements Phenom Intro & Job Summary: Phenom's mission is to help a billion people find the right work. Our global Marketing team plays an important role in achieving this mission by generating awareness, providing education and converting prospects into customers. Phenom has a dedicated focus on Original Research that requires a team that is passionate about contributing through data research and analysis specialization, including performing hundreds of audits and evaluations of global career sites, hiring practices, and automation processes against a Phenom rubric. sifting through large spreadsheets and data sources to connect trends, themes, scoring which go into a larger narrative for the industry. This work presents itself publicly in the form of personalized audits used by sales to gain credibility, promoted by marketing to generate top of funnel interest. With a strong focus on detailed evaluation of various implementations of HR technology and how they carry out different candidate attraction and engagement functions, you’ll help first hand in not only providing Phenom customers with insights they need to improve their business, but also suggesting process improvements to speed the delivery of audits while maintaining a high level of quality. Your effort and impact will also be highly visible in reports such as State of Candidate Experience, State of Skills, State of High-Volume Hiring, and State of AI. What you have to do: Conduct comprehensive audits of career sites globally, identifying opportunities to improve candidate attraction through content quality optimization, search engine visibility (SEO), design enhancement, and messaging refinement while adapting audit methodologies to accommodate unique site structures and configurations Execute end-to-end application testing using carefully crafted test profiles with real contact information to evaluate hiring automation workflows, trigger sequences, and follow-up communications, maintaining detailed documentation of each step in the candidate journey Collaborate with Sales, SDR, and recruitment marketing teams to create customer-specific audits and identify opportunities where data-driven insights can empower client relationships and unlock growth, while maintaining high quality standards Establish and maintain an audit methodology playbook, documenting tested approaches, effective analysis frameworks, and reporting guidelines to ensure consistent output across sites and regions while maintaining flexibility to adapt to unique site configurations and company-specific requirements Work Experience What you have done: 3+ years of experience in digital marketing, talent operations, recruitment marketing, or website analytics 2-3+ years of experience and demonstrated expertise with web analytics and SEO tools for recruitment use cases: Advanced experience with Google Analytics/GA4 for user behavior analysis Proficiency with SEMrush, Ahrefs, or similar platforms for SEO evaluation Familiarity with ATS platforms (Workday, Phenom People, iCIMS, etc.) and their integration with career sites Strong analytical mindset, exceptionally well-organized and detail oriented, and able to manage multiple concurrent audit projects across different regions and client requirements, maintaining accurate tracking of ongoing application processes and follow-up communications over extended periods Demonstrated experience in turning complex data into actionable insights and recommendations that drive measurable business outcomes, while maintaining persistence to achieve comprehensive audit results even when facing technical obstacles or non-standard implementations Passionate about being hands-on in audit execution; comfortable with creating and managing test application profiles, and contributing to team-wide knowledge sharing about effective audit methodologies for complex scenarios Ability to work independently while maintaining consistency with established standards Excellent communication, time management, and detail-oriented skills Organized and able to work on a variety of projects at one time Learned to love and thrive in fast-paced, highly collaborative environments Demonstrated that running through walls to overcome challenges and blockers is fun, exciting, and expected of themselves and their teammates An innate drive to be curious, learn, and apply those learnings in their day-to-day Passionate about being hands-on in their contribution and team execution Nice to Have Web design or UX background with understanding of user interface principles and design impact on conversion rates Knowledge of website accessibility standards (WCAG, ADA compliance) and their application to recruitment platforms Understanding of conversion rate optimization (CRO) principles as applied to talent acquisition funnels Experience working with ambiguous requirements and developing creative solutions for non-standard technical challenges

Key Responsibilities: Loan Assessment & Underwriting: Evaluate loan proposals received from branches or digital platforms. Perform credit appraisal, financial analysis, and risk assessment of individuals and businesses. Recommend/approve credit limits based on internal policies. Policy Adherence & Risk Management: Ensure compliance with the company’s credit policies, RBI norms, and KYC guidelines. Flag deviations and propose exceptions where applicable. Portfolio Monitoring: Track the performance of disbursed loans, monitor delinquency trends, and initiate corrective actions. Periodically review and revise underwriting norms based on changing risk profiles. Coordination & Training: Work closely with sales, operations, and legal teams for seamless processing of loan applications. Train field credit officers or branch staff on credit appraisal techniques and documentation. Reporting & Documentation: Prepare MIS reports, dashboards, and exception reports for senior management. Maintain accurate and updated credit files, approvals, and records. Key Skills & Competencies: Strong analytical and financial evaluation skills Understanding of credit risk, loan structuring, and underwriting standards Knowledge of regulatory compliance in NBFCs Proficiency in MS Excel, Loan Management Systems, and credit scoring models Good communication and decision-making skills Qualification & Experience: Graduate/Postgraduate in Finance, Commerce, Economics, or a related field MBA/CA/CFA preferred 3–7 years of experience in credit assessment or risk in an NBFC or bank (sector-specific: MSME, Personal Loan, Gold Loan, etc.) Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹24,000.00 per month Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook Inviting applications for the role of Principal Consultant, Tester Credit Lending, AI-ML, & GenAI In this role, you will be responsible for detail-oriented lead Tester role for next-generation Credit Lending powered by AI/ML and Generative AI. This role combines financial domain expertise with technical QA leadership to ensure high-quality delivery of intelligent credit risk systems, loan origination workflows, and AI-enhanced decision engines. Responsibilities Design, develop, and execute manual and automated test cases for Credit Lending with AI/ML and GenAI integrations. Lead QA efforts for platforms and tools related to credit scoring, loan origination, underwriting automation , and risk assessment . Design and drive test strategies for systems integrating AI/ML models for credit risk prediction, fraud detection, and customer profiling. Validate Generative AI-driven outputs such as auto-generated credit summaries, customer communication drafts, and intelligent document processing. Review, define, and execute test plans, test cases, and test data for lending workflows involving AI/ML algorithms and scoring engines. Collaborate with data scientists and credit analysts to understand model behavior , thresholds, feature importance , and ensure explainability. Perform functional, regression, data integrity, and model validation testing . Use tools like Postman, Python, SQL, Selenium, or custom frameworks to automate and streamline QA processes. Ensure compliance with regulatory standards (e.g., FCRA, GDPR, lending regulations) and AI fairness, bias, and transparency . Work with product and business stakeholders to align QA strategy with lending KPIs and credit policy outcomes . Qualifications we seek in you! Minimum Qualifications QA experience, with experience in a lead role . Proven domain knowledge in consumer or commercial lending , credit scoring , or loan lifecycle systems. Strong understanding of AI/ML workflows including model validation, supervised learning, and prediction-based decisioning. Exposure to Generative AI tools/APIs (e.g., OpenAI, Claude, Azure OpenAI) used in financial document automation or decision support. Experience with test automation frameworks (Selenium, TestNG, Python scripting) and API testing tools . Working knowledge of SQL for data validation and JSON/XML for API payload verification. Familiarity with credit industry platforms/tools like FICO, Experian, TransUnion APIs , or loan origination systems (LOS) . Strong communication skills and ability to work with cross-functional teams (Product, Data Science, Risk, Compliance). Data Science: Understand, analyze , and prepare data used in AI development. Preferred Qualifications/ Skills Experience with model governance tools , bias/fairness audits, or AI observability platforms. Certifications in AI/ML , ISTQB , or credit analytics . Understanding of explainable AI (XAI) and credit model interpretability techniques (e.g., SHAP, LIME). Experience with CI/CD pipelines , version control (Git), and Agile methodologies. Testing including API testing, Experience in Coding in Python Exposure to conversation design , dialogue flow , or intent training . Certifications in AI/ML or GenAI , cloud technologies. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 25, 2025, 8:45:43 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time