1958 Scoring Jobs - Page 6

📌 Job Title: Risk & Credit Manager 🏢 About the Role: We are seeking a dynamic and highly skilled Risk & Credit Manager to lead our credit risk strategy, adjudication processes, and decision models. This role demands a professional who combines deep domain expertise in credit policy and underwriting with hands-on experience in advanced risk analytics , machine learning algorithms , and global best practices in consumer lending. You will play a critical role in strengthening our risk management framework, driving data-driven decision-making, and implementing scalable credit strategies that balance growth with robust portfolio quality. 🎯 Key Responsibilities: ✅ 1️⃣ Credit Risk Adjudication: Oversee and continuously improve credit adjudication policies for both new and repeat customers. Define credit risk acceptance criteria, segment strategies, and scorecards for multiple products. Review high-value or exception cases and guide underwriters on complex decisions. ✅ 2️⃣ Advanced Risk Modeling: Design, implement, and monitor machine learning-based credit risk models , including scorecards, fraud models, and early warning systems. Evaluate and benchmark internal models with leading industry models used in India and globally (e.g., bureau-based, alternate data models, social scoring, behavioral risk models). Collaborate with Data Science teams to test and validate predictive algorithms, ensuring regulatory compliance and interpretability. ✅ 3️⃣ Portfolio Monitoring & Process Improvement: Build and enhance portfolio monitoring dashboards to track risk KPIs — delinquency, vintage curves, segment performance, and early default triggers. Identify process bottlenecks and design control mechanisms to minimize fraud and operational risk. Drive continuous process improvements to reduce TAT and error rates in credit operations. ✅ 4️⃣ Data-Driven Decisioning: Use actionable insights from credit performance data to refine policy, product features, and sourcing strategies. Partner with Product & Tech teams to embed automated decision engines and real-time rule engines. Explore new data partnerships (e.g., alternate bureau, account aggregator, digital footprint data) to enhance risk prediction. ✅ 5️⃣ Cross-Functional Collaboration & Compliance: Work closely with Operations, Collections, Product, Tech, and Regulatory teams to ensure end-to-end risk controls. Ensure adherence to internal risk policies and external regulatory guidelines (RBI, NBFC norms, AML, KYC). Prepare and present risk MIS and portfolio insights for leadership, board, and investors. 🧩 Key Requirements: ✔️ 5–10 years of strong experience in Credit Risk, Underwriting, or Credit Policy roles within NBFCs, Banks, or Fintechs . ✔️ Hands-on experience designing and implementing credit adjudication frameworks and risk scoring models. ✔️ Good understanding of machine learning algorithms , model validation, and usage of advanced data analytics. ✔️ Exposure to global best practices in credit risk — experience with scorecards, bureau data, alternate data, and open banking is a plus. ✔️ Proven track record of process improvement initiatives , automation, or digitization of credit processes. ✔️ Strong analytical mindset with expertise in SQL, Python/R, or other data tools preferred. ✔️ Excellent stakeholder management and communication skills — comfortable presenting to senior management. ✔️ Graduate/Postgraduate in Finance, Statistics, Economics, or relevant quantitative field. 🚀 Why Join Us? Opportunity to work with an innovative team shaping cutting-edge credit products. Hands-on ownership to build next-generation risk management frameworks . Freedom to experiment with new data sources, tools, and algorithms. Collaborative, merit-driven work culture with clear growth opportunities.

Are you the 1 in 3978 Systems Analyst who love evaluating AI platforms but are stuck in at a traditional company that is not advanced? You're at the top of your game. You've mastered complex SaaS platform analysis, tamed complex software evaluations, and can build a comparative matrix in your sleep. But you're hitting a ceiling! You're tired of your recommendations gathering dust in endless reports, fighting for the attention of leaders who don't understand the tech, and feeling like your true impact is being diluted. You know you have the talent to architect a company's technological future, but you're stuck in a role that asks you to maintain, not build. Well, here is an invitation to the next chapter in your career. We believe elite talent deserves a premium commitment. We back our vision with two things you won't find anywhere else: a world-class lifestyle and the world's most advanced AI-Native toolbox . Your Reward (The Lifestyle): A highly competitive and transparent salary of AED 15,000 - AED 25,000/month + up to 10% performance bonus, all tax-free and top in class. Your Toolbox (The Unfair Advantage): While other companies are forming committees to discuss AI, we are rebuilding our entire business around it. You will not be a supporting analyst; you will be our AI scout, working in a truly AI-first environment with a direct line to our Chief AI Operations Officer. This is a competitive advantage that few Evaluation Specialists in the world will have. At Puffy, we're not just offering a job. We're offering you a plan to realize your full potential: Directly Architect Our AI-Powered Future: You won't just evaluate software—you will work directly with our Chief AI Operations Officer to proactively discover, test, and select the emerging AI / SaaS tools that will define our strategy. Your analysis will be the company's roadmap. Act with Radical Freedom: We've eliminated the red tape that suffocates A-Players. You'll have the mandate and autonomy to conduct rapid, hands-on evaluations and deliver decisive recommendations that get implemented immediately, without layers of approval. Experience True Impact: Work within an organization led by our Forbes Council Member CEO, gaining exposure to elite-level business operations and thought leadership. You will see the direct line from your tool discovery to our business transformation. You won’t just write reports; you will be the catalyst for adopting the technology that gives Puffy a decisive edge on a global stage. This role is for you if: You have a 3+ year history of not just analyzing software , but translating its potential into clear, actionable business value . You are obsessed with AI from a user's perspective and can rapidly master new tools, separating market hype from true strategic impact. You use data, hands-on testing, and weighted scoring to build irrefutable business cases that drive swift and decisive action. Here's What Success Looks Like: In 12-24 months, you will have become the company's subject matter expert in applied AI, accelerated your path to a strategic leadership role, and be living a tax-free, world-class lifestyle in Dubai. You will look back at this as the moment your career transformed from being a great Analyst to being a true technology architect. The Alternative is clear: another year in a role where your potential is capped and your best ideas die in committee. Ready to Shape Your Story? Click "Apply" and take the first step. Our streamlined 3-phase hiring process is designed for elite talent like you. If you pass our online assessment, you could be invited to Phase 2 within one business day.

Job Title: Assistant Manager - Events & Marketing Operations Location: Gurugram, India (In-Office) Department: Marketing Reports to: CMO Experience Required: 5+ years in event planning and execution, preferably in IT/Tech sector Employment Type: Full-time (Individual Contributor) Role Overview You will be responsible for planning, executing, and overseeing all corporate, internal, and external events — including conferences, webinars, client meets, trade shows, and employee engagement activities. You will work closely with cross-functional teams, vendors, and leadership to ensure high-quality delivery aligned with our brand and business goals. You will play a dual role: managing and executing high-impact events (online and offline) and acting as the initial point of contact for incoming customer/prospect calls and website inquiries. This role is ideal for someone who is organized, customer-centric, and thrives in a fast-paced environment. You’ll collaborate with cross-functional teams and ensure all interactions — both at events and via digital touchpoints — leave a lasting, positive impression. Key Responsibilities Event Management (60%) Lead end-to-end planning and execution of events (physical, virtual, and hybrid). Develop and manage event budgets, timelines, and logistics. Collaborate with internal stakeholders (sales, HR, leadership) to define event objectives and success metrics. Identify and coordinate with vendors, venues, agencies, and technology partners. Supervise event branding, collateral, giveaways, booth designs, and experience zones. Drive registration, participation, and post-event engagement using CRM and marketing automation tools. Ensure timely reporting, post-event analysis, social media promotions, and ROI measurement. Stay updated on event trends and technologies to drive innovation in event delivery. Marketing Operations & Digital Marketing (25%) Develop and implement scalable marketing operations processes to enhance campaign efficiency and reporting. Manage marketing automation workflows, CRM integrations, and lead scoring mechanisms. Oversee digital marketing initiatives related to event promotions, including email campaigns, PPC ads, and social media outreach. Optimize website landing pages, content, and event registration flows for improved user experience and conversion rates. Collaborate with SEO and content teams to enhance event visibility and organic reach. Track and report digital marketing performance metrics for continuous improvement. Customer Interaction & Reporting (15%) Attend all incoming prospect and customer calls/inquiries originating from the website. Qualify leads, provide basic information, and forward relevant details to sales or support teams. Maintain a structured log of all incoming interactions and prepare weekly reports for senior management. Coordinate closely with the sales and CRM teams to ensure smooth handover and follow-up. Requirements Bachelor's degree in marketing, Communications, Event Management, or related field 5+ years of hands-on experience in B2B event management, preferably in IT/Tech/Software domain Experience in customer service or lead handling is a plus Strong project management and multitasking skills Excellent communication, negotiation, and interpersonal skills Familiarity with tools such as Salesforce, Eventbrite, MS Office, and virtual event platforms Ability to travel domestically and occasionally internationally for event execution High attention to detail and problem-solving ability under pressure Preferred Qualities A proactive communicator with a customer-first attitude Experience in handling both digital events and in-person activations Ability to work independently and report clearly to management Tech-savvy, with a keen interest in marketing automation and digital engagement Creative thinker with a passion for crafting unique event experiences Demonstrated ability to manage large-scale events independently Prior experience working with CXOs and senior stakeholders Location: Gurgaon - EMBI, Gurgaon, Haryana, India

The Role We’re looking for a hands-on Engineering Lead who combines technical depth with product intuition. You’ll guide a team of junior engineers (currently India-based), set the standard for modern software practices, and deliver robust tools that enable brokers to submit deals, SMEs to provide data, underwriters to assess risk, and internal teams to manage loans across their lifecycle. You’ll also drive adoption of automation and AI where it meaningfully enhances speed, accuracy, or user experience. You Will ● Set technical direction and long-term vision for the platform, aligning engineering efforts with business objectives ● Lead design and development of front-end and back-end features across the full SME lending platform, including onboarding, underwriting, funding, and loan servicing modules ● Work closely with product leadership to shape features, scope timelines, and deliver iteratively ● Mentor junior developers, review code, and enforce high standards across the team ● Drive mobile-friendly UI development using React (or similar frameworks) ● Own integration of external APIs for Open Banking, KYC/KYB, credit scoring, and more ● Establish CI/CD pipelines, testing frameworks, and modern release practices ● Implement robust monitoring, alerting, and incident response processes to maintain system reliability ● Push innovation—whether it’s using AI tools to accelerate dev cycles or improving data pipelines for underwriters ● Act as technical point of contact for both Albatross and Recognise Bank, collaborating across teams You Should Have ● 7–12 years of experience in full-stack or front-end development roles ● 3+ years leading engineering teams or mentoring junior developers ● Proven ability to uplift inexperienced teams and introduce structured engineering practices from scratch ● Deep familiarity with React and JavaScript/TypeScript (Node.js, Python, or Java on the back-end a plus, but not required) ● A track record of shipping responsive, mobile-first web applications ● Experience designing and working with relational databases (e.g. PostgreSQL, MySQL) and understanding of data modeling for lending workflows. ● Experience integrating third-party APIs (Open Banking, KYC/KYB, Credit Bureaus) ● Solid grasp of Git, CI/CD, DevOps, and testing frameworks ● Familiarity with banking or fintech—especially onboarding flows, CRMs, or SME lending ● Experience building platforms with multiple user types (e.g. brokers, SMEs, underwriters) ● Understanding of secure development practices and sensitivity to data privacy in financial applications ● A strong sense of product—able to work without rigid specs and propose better solutions ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience ● Bonus: Experience leveraging AI/automation tools (e.g. Claude, internal LLMs) to improve development velocity or reduce manual effort. What Success Looks Like ● Junior team becomes high-performing under your leadership ● Front-end and back-end codebases are clean, scalable, and documented ● New features are released regularly without regressions or quality issues ● Product team and stakeholders view you as a proactive problem-solver ● Mobile UI feels seamless; users don’t complain about broken layouts or clunky flows ● You raise the bar for the team across quality, velocity, and technical thoughtfulness Initial Screening Criteria Essential Experience 1. Years of experience: 7-12 years in software engineering, 3+ years leading a team 2. Frontend skills: Strong React experience with portfolio examples or shipped products 3. Mobile responsiveness: Proven delivery of mobile-friendly apps (ask for visual examples or links) 4. API integrations: Hands-on experience integrating 3rd-party APIs (Open Banking, KYC, etc.) 5. Product types: Has built CRMs, onboarding platforms, dashboards, or lending portals 6. Fintech exposure: Worked at a fintech, neobank, or lending platform (ideally UK-focused) 7. Code leadership: Led code reviews, set architecture, mentored junior devs, owned quality 8. DevOps awareness: Comfortable with CI/CD pipelines, GitHub Actions, version control best practices Nice-to-Have Enhancers 1. SME lending familiarity: Understands workflows like DIP, underwriting, and BDM sales pipelines 2. AI/automation curiosity: Has used GitHub Copilot, custom LLM tools, or similar productivity boosters 3. Multi-role platforms: Designed for multiple users (e.g. broker, SME, underwriter, compliance) 4. Experience with junior teams: Proven ability to coach or uplift less-experienced developers 5. Fintech compliance awareness: Knows basic standards around data privacy, audit trails, or FSCS/AML concerns

Key Responsibilities Monitor and triage alerts from SIEM platforms including Elastic Stack , correlating data from Zscaler, Defender for Endpoint, CrowdStrike Falcon , and other security tools. Investigate suspicious activity and escalate confirmed incidents with detailed impact assessments. Support incident response lifecycle —including containment, eradication, and recovery—according to defined playbooks. Collaborate with senior analysts and threat intelligence teams to conduct in-depth investigations and recommend mitigations. Perform log analysis, packet capture review, and behavioral analytics to uncover advanced threats. Conduct proactive threat hunting using data across various telemetry sources (e.g., endpoint, network, cloud). Document investigation steps, findings, and resolution actions for audit and knowledge base purposes. Continuously tune SIEM rules, detection logic, and alert thresholds to reduce false positives and increase fidelity. Provide audit and compliance support during security assessments and regulatory evaluations. Participate in weekly SOC reviews and post-incident reviews to improve detection and response capabilities. Stay updated with the latest threat intel, CVEs, TTPs (MITRE ATT&CK), and industry best practices. Qualifications & Skill sBachelor’s degree in computer science, Cybersecurity, Information Technolog y, or related field .2–3 year s of hands-on experience in a SOC or cybersecurity role, ideally in a 24x7 monitoring environment .Solid knowledge of :Endpoint detection tools (CrowdStrike Falcon, Defender for Endpoin t )Network and cloud security solutions (Zscaler Internet Access/ZP A )Open-source and commercial SIEM tools (preferably Elastic/EL K) .Understanding of network protocol s, log format s, and Windows/Linux/macOS securit y .Familiarity with MITRE ATT&C K, CVE/CVSS scoring, and vulnerability management principles .Strong communication and incident documentation skills .Willingness to work in rotational shifts for continuous 24x7 SOC coverag e .Preferred certifications: CompTIA Security+, Microsoft SC-200, Elastic Certified Analyst, CrowdStrike Certified Falcon Responder, or simila r .

About Singular Singular is a leader in mobile marketing analytics, helping top brands unify marketing data, measure performance, and optimize growth. We’re looking for a Revenue Operations Manager to take ownership of our GTM tech stack, streamline systems and processes, and ensure our tools and data work in perfect sync to drive smarter, faster decision-making across sales and marketing. About the Role As the Revenue Operations Manager, you will own and optimize our entire go-to-market (GTM) tech stack. You’ll be the architect and the mechanic, making sure our systems (like Salesforce, HubSpot, Apollo, Clay, Chili Piper, Gong, etc.) work in harmony, support efficient workflows, and surface the right insights to drive growth. If you’re passionate about eliminating bloat, streamlining tools, and enabling teams to move fast, we want to hear from you. What You’ll Do Own and optimize our GTM tech stack—evaluating tool usage, reducing redundancy, and integrating platforms for seamless data flow Serve as SFDC administrator and power user: manage workflows, fields, objects, and automation to ensure our CRM supports sales, marketing, and customer success Partner closely with Sales, Marketing, and CS teams to design efficient processes across lead routing, scoring, attribution, pipeline hygiene, and reporting Build and maintain reports/dashboards that help us track key metrics (e.g., pipeline velocity, conversion rates, campaign ROI) Lead tool onboarding and offboarding, including vendor management and training Be the go-to connector between systems, solving data gaps, syncing issues, and ensuring reliable reporting Stay ahead of new features and capabilities across our GTM tools, constantly improving how we work Continuously analyze GTM data across the funnel to identify trends, test hypotheses, and propose actionable improvements across sales, marketing, and customer touchpoints Support forecasting, capacity planning, and performance analysis to help leadership make informed, data-driven decisions What You Bring to the Role Proven experience managing GTM tools, especially Salesforce, HubSpot, and at least 2–3 of the following: Apollo, Clay, Chili Piper, Gong Strong experience in B2B SaaS GTM models, ideally supporting both SLG and PLG motions Hands-on SFDC admin experience with the ability to build and troubleshoot workflows, custom fields, automation, and integrations Strong understanding of B2B revenue operations and the connection between sales, marketing, and customer success Ability to simplify complex tech ecosystems and eliminate unnecessary tools or processes Analytical mindset: you know your way around dashboards, attribution, and pipeline metrics Comfortable rolling up your sleeves but also thinking strategically about how tech can unlock growth Curious, fast learner, and a proactive problem-solver Bonus Points One or more of the following Salesforce certifications: Salesforce Certified Advanced Administrator Salesforce Certified Platform App Builder Salesforce Certified Sales Cloud Consultant Experience with data tools (e.g., Looker, Tableau, or similar) Experience supporting ABM or multi-touch attribution models Equal Opportunity As a proud equal opportunity employer, we're committed to hiring top talent regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We don't just accept differences — we celebrate you being who you are for the benefit of our employees, our products, and our community.

Job Description: Business Development Representative Location: Pune, India Reports To: Account Executive Type: Full-time About the Role As a Business Development Representative (BDR) at Coditas, your core mission is to accelerate the sales pipeline by systematically building and maintaining a high-quality, validated prospect database aligned with Coditas’ Ideal Customer Profile (ICP). You will research target accounts, extract verified contact details of key decision-makers and influencers, and enrich each record with meaningful firmographic and technographic insights. By segmenting prospects by fit and readiness — and leveraging tools like LinkedIn Sales Navigator, ZoomInfo, Crunchbase, Apollo and CRM — you will deliver prioritized prospect lists that enable the Account Executive to engage the right accounts. In addition to data preparation, you will maintain CRM hygiene under the guidance of SDRs and AEs, ensuring all records remain accurate, up-to-date, and properly organized. As the guardian of prospect pipeline quality , you play a pivotal role in helping the sales team work efficiently and effectively — accelerating meaningful conversations and driving conversions. This is a hands-on, detail-driven role for someone who thrives on research, data precision, and contributing to a collaborative, high-performing sales process. What’s in It for You ✅ Full-Stack Data Ownership: Control the entire prospecting workflow—your segmentation logic, enrichment rigor, and list hygiene drive the first spark of every deal. ✅ Work with Elite Sellers: Partner & learn closely with high-performing SDR and AEs who rely on your intelligence and pipeline data to open doors and hit revenue targets. ✅ Pipeline-Building Platform: See instant cause-and-effect—watch your curated lists turn into booked meetings, qualified opportunities, and closed revenue. ✅ Exponential Skill Curve: Master industry-leading tools (HubSpot, ZoomInfo, Apollo, Sales Nav, GPT copilots) and become the resident authority on ICP scoring, intent signals, and data compliance. ✅ Merit-Driven Growth: Advance to SDR, AE, or RevOps promotions, incentives, and ESOPs expand strictly with outcomes, not tenure. ✅ Culture of Precision & Experimentation: Thrive in a high-trust environment that rewards accuracy, speed, and safe-bet experiments to sharpen targeting and conversion. Your Key Responsibilities 🔎 Prospect Research & Data Collection Mine LinkedIn Sales Navigator, Apollo, ZoomInfo, Crunchbase, and AE networks to surface ICP-fit companies and contacts. Apply revenue, head-count, tech-maturity, and trigger filters (funding, hiring, C-suite changes) to zero in on the highest-value accounts. Map each buying center—decision-makers, influencers, gatekeepers, blockers—capturing verified emails, phones, and LinkedIn URLs. 🧠 Data Enrichment & Contextualization Append firmographics (industry, size, HQ) and technographics (key platforms, adoption level) to every record. Log real-time business signals—funding rounds, leadership moves, product launches—to sharpen outreach timing. Add concise context notes so SDRs and AEs can personalize messaging from the first touch. 🗄️ Database Structuring & Segmentation Clean, de-duplicate, and tag data weekly by fit tier, readiness level, vertical, and persona. Refresh aged records or retire them to keep the pipeline actionable and conversion-ready. Iterate tags and segments as campaign feedback and SDR / AE insights roll in. 📅 Weekly Prospect List Curation Package and deliver a validated, segmented prospect list every Monday, aligned with live GTM campaigns. Sync with SDRs and AEs to fine-tune priorities, then adjust lists on the fly as new intel emerges. Track list-to-meeting conversion and recommend tweaks to scoring or targeting logic. 🔧 CRM Hygiene & Pod Support Keep CRM fields, enrichment data, qualification notes, and attribution history pristine. Execute routine hygiene sweeps—gap fills, field corrections, deduplication—and document every change and conversation. Turn around ad-hoc data requests from SDRs and AEs within 24 hours, ensuring your Sales Team Pod (You + SDR + AE) never stalls for lack of insight. Sample Outputs & Deliverables ✅ Prospect Database Tracker – segmented by ICP & Enriched with Intel ✅ Weekly Suspect→MQL Conversion Report ✅ MQL Scorecard – lead quality analysis by Target Account/Persona ✅ Lead Feedback Log – reasons for MQL rejection by SDR or AE You Will Thrive in This Role If You Are… Data-obsessed—segmentation logic and spotless spreadsheets make you smile. Curious & analytical—you keep asking why leads convert (or don’t) until patterns emerge. Tool-savvy— New GenAI efficiency tools, Web Scraping Tools, CRM, data enrichment hacks, and scoring framework feel like everyday extensions of your brain. Collaborative communicator—you keep SDRs and AEs in the loop, always. Disciplined self-starter—high output, zero shortcuts, even at scale. Desired Background 1–3 years generating B2B pipeline or supporting inside-sales in IT services, SaaS, or demand-gen environments. Bachelor’s in Business, Marketing, Economics, Mass Comm, Data Analytics—or BE/BTech with a sales focus; CRM or HubSpot Sales Hub Software Certified/ LinkedIn Sales Navigator Skills Certification/Sandler Selling System Practitioner Certification will add weight. Good experience of CRM Tools e.g - HubSpot/Salesforce.Zoho/Pipedrive etc. and expert of using tools e.g LinkedIn Sales Navigator, ZoomInfo/Apollo, Clearbit, and advanced Excel/Sheets ; comfortable experimenting with light scraping tools and GPT assistants. Compensation & Benefits 💰 Industry best compensation with handsome incentives 🚀 Faster Career growth for ‘A Players’ into SDR, AE, or RevOps streams 🧘 Hybrid work, open feedback culture, and high-ownership environment Ready to Lead the Charge? This is your opportunity to define what success looks like—and then build it. If you’re ready to drive impact, own outcomes, and build a business that matters, drop your CV along with a cover letter to anshu@coditas.com Company Introduction Coditas is a digital engineering and experience design company known for building scalable, high-performance software products with clean code and exceptional UX. Headquartered in Pune with 800+ technologists, we work with global brands like JPMorgan Chase, HDFC, and Symantec. Our engineering-first culture, focus on quality, and people-centric values make us one of India’s fastest-growing and most respected tech companies. As a GenAI-native company, we're not just adopting generative AI—we're architecting next-gen platforms with it. From AI-powered app modernization to industry-specific GenAI solutions, we empower our teams to lead from the front. If you thrive on innovation, love solving complex problems, and want to shape the future of AI-driven products, Coditas is your playground. For more details about us, please visit our social media handles:

About the team: Rubrik’s Marketing Team is growing, and we’re looking for individuals to join us at one of the most pivotal moments in our journey. Our team breaks boundaries and challenges the status quo, innovating along the way. We embrace a culture of opportunity and empowerment, allowing team members to take their best ideas and see them to fruition, while constantly exploring one-of-a-kind strategies. Come be part of a team bringing a fresh perspective to data security. Join us and let’s be unstoppable, together. About the role: Rubrik is hiring a Senior Email Marketing Specialist to execute and optimise email marketing campaigns that drive engagement and pipeline growth. Reporting to the Marketing Centre of Excellence, you will be partnering closely with the Email Marketing Manager based in the United States and will be responsible for building and deploying campaigns, managing automation workflows, and analysing performance metrics to improve effectiveness. This highly cross-functional role requires strong technical execution skills in Marketo and Salesforce, along with a data-driven mindset to continuously refine and enhance our email marketing efforts. What you'll do: Email Campaign Execution & Optimisation Build, test, and deploy email campaigns using Marketo, ensuring best practices for deliverability, formatting, and engagement. Implement segmentation and personalisation strategies to enhance audience targeting and relevance. Conduct A/B testing on subject lines, CTAs, and email design to optimise engagement rates. Work with the Email Marketing Manager to execute the overarching email strategy effectively. Automation & Lifecycle Marketing Develop and maintain automated workflows (nurture programs, re-engagement sequences, onboarding campaigns, etc.). Monitor and optimise email automation to align with the customer and prospect lifecycle. Collaborate with Marketing Ops and Sales teams to ensure seamless lead routing and scoring processes. Performance Tracking & Reporting Analyse email performance metrics (open rates, CTRs, conversion rates, unsubscribe rates) and provide insights to improve campaign effectiveness. Leverage Tableau, Looker, or Adobe Analytics to create and present reports on email performance. Provide recommendations to enhance email engagement and marketing automation efficiency. Collaboration & Process Improvement Work closely with Demand Generation, Product Marketing, and Sales to support campaign execution. Ensure compliance with GDPR, CAN-SPAM, and other data privacy regulations. Partner with Marketing Operations to enhance data hygiene and list segmentation. Identify opportunities to improve email production processes and workflow efficiencies. Experience you'll need: 5+ years of hands-on experience in email marketing and marketing automation, preferably in a B2B SaaS company. Expertise in Adobe Marketo (Marketo Certified is a plus). Proficiency in Salesforce CRM (3+ years preferred). Strong copywriting and content optimisation skills for email marketing. Experience with reporting tools (Tableau, Looker, Adobe Analytics, etc.). Proficiency in G-Suite (Google Sheets, Docs, Slides, etc.) Nice-to-Have Experience managing multi-touch nurture campaigns and automation workflows. Familiarity with HTML/CSS for email design. Knowledge of Snowflake data warehouse for data-driven segmentation. Operational experience with lead routing, data hygiene, and lifecycle management. Ability to mentor junior marketers and improve internal processes. Location & Work Hours Location: Bengaluru, Karnataka (Hybrid) Work Hours: 2 PM - 11 PM IST. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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.