Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description We’re looking for a Jr AI Security Architect to join our growing Security Architecture team. This role will support the design, implementation, and protection of AI/ML systems, models, and datasets. The ideal candidate is passionate about the intersection of artificial intelligence and cybersecurity, and eager to contribute to building secure-by-design AI systems that protect users, data, and business integrity. Key Responsibilities Secure AI Model Development - Partner with AI/ML teams to embed security into the model development lifecycle, including during data collection, model training, evaluation, and deployment. - Contribute to threat modeling exercises for AI/ML pipelines to identify risks such as model poisoning, data leakage, or adversarial input attacks. - Support the evaluation and implementation of model explainability, fairness, and accountability techniques to address security and compliance concerns. - Develop and train internal models for security purposes Model Training & Dataset Security - Help design controls to ensure the integrity and confidentiality of training datasets, including the use of differential privacy, data validation pipelines, and access controls. - Assist in implementing secure storage and version control practices for datasets and model artifacts. - Evaluate training environments for exposure to risks such as unauthorized data access, insecure third-party libraries, or compromised containers. AI Infrastructure Hardening - Work with infrastructure and MLOps teams to secure AI platforms (e.g., MLFlow, Kubeflow, SageMaker, Vertex AI) including compute resources, APIs, CI/CD pipelines, and model registries. - Contribute to security reviews of AI-related deployments in cloud and on-prem environments. - Assist in automating security checks in AI pipelines, such as scanning for secrets, validating container images, and enforcing secure permissions. Secure AI Integration in Products - Participate in the review and assessment of AI/ML models embedded into customer-facing products to ensure they comply with internal security and responsible AI guidelines. - Help develop misuse detection and monitoring strategies to identify model abuse (e.g., prompt injection, data extraction, hallucination exploitation). - Support product security teams in designing guardrails and sandboxing techniques for generative AI features (e.g., chatbots, image generators, copilots). Knowledge Sharing & Enablement - Assist in creating internal training and security guidance for data scientists, engineers, and developers on secure AI practices. - Help maintain documentation, runbooks, and security checklists specific to AI/ML workloads. - Stay current on emerging AI security threats, industry trends, and tools; contribute to internal knowledge sharing. Qualifications - 3-4 years of experience in LLM and 7-10 years of experience in cybersecurity, machine learning, or related fields. - Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps tools (e.g., MLFlow, Airflow, Kubernetes). - Familiarity with AI models and Supplychain risks - Understanding of common AI/ML security threats and mitigations (e.g., model inversion, adversarial examples, data poisoning). - Experience working with cloud environments (AWS, GCP, Azure) and securing workloads. - Some knowledge of responsible AI principles, privacy-preserving ML, or AI compliance frameworks is a plus. Soft Skills - Strong communication skills to collaborate across engineering, data science, and product teams. - A continuous learning mindset and willingness to grow in both AI and security domains. - Problem-solving approach with a focus on practical, scalable solutions. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. Show more Show less

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description We’re looking for a Jr AI Security Architect to join our growing Security Architecture team. This role will support the design, implementation, and protection of AI/ML systems, models, and datasets. The ideal candidate is passionate about the intersection of artificial intelligence and cybersecurity, and eager to contribute to building secure-by-design AI systems that protect users, data, and business integrity. Key Responsibilities Secure AI Model Development - Partner with AI/ML teams to embed security into the model development lifecycle, including during data collection, model training, evaluation, and deployment. - Contribute to threat modeling exercises for AI/ML pipelines to identify risks such as model poisoning, data leakage, or adversarial input attacks. - Support the evaluation and implementation of model explainability, fairness, and accountability techniques to address security and compliance concerns. - Develop and train internal models for security purposes Model Training & Dataset Security - Help design controls to ensure the integrity and confidentiality of training datasets, including the use of differential privacy, data validation pipelines, and access controls. - Assist in implementing secure storage and version control practices for datasets and model artifacts. - Evaluate training environments for exposure to risks such as unauthorized data access, insecure third-party libraries, or compromised containers. AI Infrastructure Hardening - Work with infrastructure and MLOps teams to secure AI platforms (e.g., MLFlow, Kubeflow, SageMaker, Vertex AI) including compute resources, APIs, CI/CD pipelines, and model registries. - Contribute to security reviews of AI-related deployments in cloud and on-prem environments. - Assist in automating security checks in AI pipelines, such as scanning for secrets, validating container images, and enforcing secure permissions. Secure AI Integration in Products - Participate in the review and assessment of AI/ML models embedded into customer-facing products to ensure they comply with internal security and responsible AI guidelines. - Help develop misuse detection and monitoring strategies to identify model abuse (e.g., prompt injection, data extraction, hallucination exploitation). - Support product security teams in designing guardrails and sandboxing techniques for generative AI features (e.g., chatbots, image generators, copilots). Knowledge Sharing & Enablement - Assist in creating internal training and security guidance for data scientists, engineers, and developers on secure AI practices. - Help maintain documentation, runbooks, and security checklists specific to AI/ML workloads. - Stay current on emerging AI security threats, industry trends, and tools; contribute to internal knowledge sharing. Qualifications - 3-4 years of experience in LLM and 7-10 years of experience in cybersecurity, machine learning, or related fields. - Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps tools (e.g., MLFlow, Airflow, Kubernetes). - Familiarity with AI models and Supplychain risks - Understanding of common AI/ML security threats and mitigations (e.g., model inversion, adversarial examples, data poisoning). - Experience working with cloud environments (AWS, GCP, Azure) and securing workloads. - Some knowledge of responsible AI principles, privacy-preserving ML, or AI compliance frameworks is a plus. Soft Skills - Strong communication skills to collaborate across engineering, data science, and product teams. - A continuous learning mindset and willingness to grow in both AI and security domains. - Problem-solving approach with a focus on practical, scalable solutions. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. Show more Show less

Attentive.ai is a fast-growing vertical SaaS firm, funded by Peak XV (Surge), InfoEdge, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms. Position Description : Attentive.ai is looking for a full-time Senior Marketing Analyst: Web Development to drive end-to-end execution of web development, to help promote its B2B SaaS products - Beam AI and Automeasure. We are looking for an experienced web developer, who will work with marketing team members to rapidly improve traffic, CTR, conversion metrics, and deliver projects aligned perfectly with wireframes and design. This person will report to the Head of Marketing. Roles & Responsibilities : Adept at writing clean, efficient, and well-documented code using languages like HTML, CSS, JavaScript and others. Drive development and maintenance of the entire website, including sitemap, fixing bugs, and implementing new features. Develop new webpages (including but not limited to - landing pages, listing pages, feature pages, etc), aligned it perfectly with wireframes and design guidelines. Experience building webpages on Webflow CMS, along with working knowledge of front-end and/or backend frameworks. Work on making the entire website 100% responsive for both desktop and mobile - optimizing all pages for speed, performance and core web vitals. Work closely with the SEO and Paid Marketing team members to achieve a 50% increase in traffic and improve the conversion rate (page views to form fills) to 10%. Ability to clearly understand the WIIFT (What’s in it for Them) for our audience and create well-thought webpages with key aspects of storytelling. Track performance and optimize based on insights to drive a 20% improvement in CTR and scroll depth q-o-q - across all key pages. Run A/B testing on messaging and promotional strategies to optimize webpage performance. Ensure website accessibility and security to protect sensitive data and user information. Proactively identify and resolve technical glitches to ensure the website functions correctly. Knowledge of database systems like MySQL, PostgreSQL, or MongoDB is preferred, along with working knowledge of Hubspot, Google Tag Manager, and others. Required Skills & Experience: 3-5 years of experience in web development in high performing marketing teams, preferably in startups or B2B SaaS organizations. Willingness and intent to learn new technologies and adapt to changing project requirements. Ability to manage time effectively and meet deadlines for multiple projects. Ace collaborator who works in alignment with creative design, product marketing/content marketing, paid marketing, tradeshows & webinars, and other cross-functional PODs and teams Ability to think creatively, write clearly and communicate complex ideas in simple terms. Demonstrable ability to create excitement, both internally (within the organization) and externally (audience/customers/partners) with engaging & intuitive web development. Experience in marketing to US-based companies is a plus. Strong communication skills Why work with us We offer an inspiring environment full of young people with a lot of ambition. You get the freedom to implement your own designs, solutions, and creativity Enjoy a culture with opportunities for exponential growth and learning. Hybrid work atmosphere & flexible timing. Show more Show less

MSCI Inc. seeks a dynamic SAP Finance Technology Director. This role will be part of the Business Technology department and will lead the Finance Tech team located in India (Mumbai or Pune), working closely with finance and business stakeholders to ensure the systems that support MSCI's order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A operate seamlessly and efficiently. As the SAP Finance Technology Director, you will be responsible for driving global projects for the implementation, enhancement, and maintenance of both finance systems and finance processes to automate and streamline operations. This includes working with SAP modules like ECC, BPC, and GRC while ensuring integration with other financial and reporting tools like RevStream, Vertex, Concur, or Board, as well as other core solutions like Salesforce or Workday. You will collaborate across regions and departments to ensure that technology solutions meet business needs and regulatory requirements, driving continuous improvements, while ensuring compliance with SOX controls and audit requirements. The SAP Finance Technology Director will manage a team of direct reports and contractors to support the overall operations of both Financial Systems and Financial Processes. As a Finance Technology Lead, you will be responsible for Finance Systems Management Operate, maintain, and improve the systems that support order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A processes. System Enhancements Lead the identification, development, and implementation of system enhancements that automate and improve the accuracy and efficiency of finance operations. Cross-functional Collaboration Work closely with Business (finance, sales, sales operations, product, client services, etc.) and IT teams to translate functional requirements into technical solutions. Ensure smooth integration of financial systems with other financial and operational platforms. Project Management Oversee projects related to system upgrades like a migration to SAP S/4HANA, new functionality deployments, and process automation initiatives. Ensure that projects are delivered on time and within budget. Compliance and Audit Support Ensure that the systems supporting revenue processes are compliant with internal controls and regulatory requirements, including SOX cycles, Standard Operating Procedures (SOPs), and audit protocols. Training and Support Provide technical guidance and training to finance and IT teams on the systems and processes supporting Revenue Recognition. Act as the go-to expert for system-related inquiries and troubleshooting. Stakeholder Communication Communicate system updates, enhancements, and issues to senior IT leadership and key stakeholders within the finance and business departments. Technical Expertise in ERP Systems Extensive experience with SAP systems (e.g., ECC, BPC, GRC). Experience in integrating with complementary business applications such as Salesforce, Concur, Vertex, or Workiva is helpful. Business Process Knowledge Familiarity with finance processes order-to-cash, record-to-report, procure-to-pay, revenue recognition, and FP&A. Project Management Proven experience in managing global large-scale IT projects, particularly those involving financial systems implementation or upgrades. Cross-functional Collaboration Ability to effectively collaborate with finance, business, and IT teams to deliver technology solutions that meet business requirements. Systems Integration Strong understanding of systems integration principles, particularly as they relate to financial reporting and revenue management systems. Compliance and Security Knowledge of SOX compliance, internal controls, and system security requirements as they pertain to financial systems. Problem-solving Skills Analytical and problem-solving skills with the ability to troubleshoot complex system issues and provide efficient solutions. Leadership and Team Development Experience managing a team of IT professionals, providing leadership coaching, and guidance in system support and project execution. Communication Skills Strong written and verbal communication skills in English, with the ability to clearly explain technical concepts to non-technical stakeholders. Preferred Qualifications Masters in Technology-related or Finance-related domain Preferred Experience 10-15 years of strong operational experience with SAP or similar ERP systems. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As a senior managing SAP consultant, you will serve as a client-facing practitioner responsible for selling, leading, and implementing offerings with deep understanding of SAP systems. As a trusted business advisor who collaborates to provide innovative solutions for solving the most challenging business problems with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. Participate in business development activities and contribute to proposal development. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution Leadership: Leading the technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadership: Leading and manage high performing team of SAP consultants to deliver work products on time, budget, and quality. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your functional expertise of SAP with clients and team members and working with the latest technologies with industry best practices applied Preferred Education Master's Degree Required Technical And Professional Expertise 17+ Years Industry experience of performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support. Strong hands-on experience of core S/4 HANA Sales and Service processes and functionalities. e.g. Business Partner, Sales Quote/Order processing, Sales Monitoring and Analytics; Claims, Returns and Refunds Management; Contract and Subscriptions; Delivery Processing, Invoice processing, Pricing, aATP, Settlement Management Architecture/Design/Detailing of Processes, designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Experience of minimum 2 end to end SAP S/4 HANA Sales & Service Implementation and core S/4 HANA Sales and Service processes and functionalities. Led testing, data conversion, cutover and post golive, hypercare and Knowledge of business functions like Intercompany Sales, Third Party Sales, Consignments, Service and Maintenance, Advanced Variant configuration, International Trade etc Deep understanding of Business Process integration of SAP Sales and Service with other modules e.g. FI, MM, PP, PS, CO etc Preferred Technical And Professional Experience Knowledge of Fiori Apps from SAP Order to Cash perspective, SAP's implementation methodologies. Should be able to create functional specifications to bridge any gap in the solution design using custom development. For example, enhancements, Interfaces, Reports, data Conversion and Forms. Hands-on experience of designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Show more Show less

Software Engineer II, SMART Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who we are Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a passionate Backend Software Engineer to join the Fulfilment Optimisation team. This team builds the platforms that determine how customer orders are fulfilled, optimising for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfilment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. The Growth & Ad Platforms Engineering team is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's paid advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimisation and effective decision making on millions of items in our catalog.The types of systems built by this team range from low latency REST APIs, to real time streaming systems to high performance large scale batch systems. What you will do Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts. Work with a variety of technologies, including Java, Spark, Kafka, Aerospike, Hadoop, Airflow, RESTful web services, gRPC, Kubernetes. Additionally, you’ll work with various managed GCP offerings like BigQuery, Composer and Vertex AI. Build platforms and services that allow us to make realtime ML powered decisions that improve the customer’s onsite search experience. Deliver direct measurable results for our business and customers through improved product recommendations. Mentor junior engineers to develop the next generation of Wayfair engineering. Provide high quality code and technical design reviews. Contribute to the code base, with a mind to best practices and an equally high degree of autonomy. What you will need A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline. 3+ years of experience in a modern programming language, preferably Java Knowledge of scalable distributed systems with deep understanding of object oriented design and design patterns. Knowledge of designing APIs and microservices. Experience working on cloud technologies specifically GCP is a plus. Experience with Lucene-based Search engines like Elasticsearch is a plus. Knowledge of recommendation systems and productionalizing ML models is a plus. Experience using Kubernetes, Docker, Buildkite, and Terraform for containerization and CI/CD is a plus. Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice ( https://www.wayfair.com/careers/privacy ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com . Show more Show less

A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers. As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. AI Engineer Overview We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI. Core Qualifications Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models) Expertise in PyTorch or TensorFlow, with a preference for experience in both Proficiency in Python and software engineering best practices for AI systems Technical Skills Required Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc. Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E) Familiarity with prompt engineering and few-shot learning techniques Expertise in MLOps and LLMOps practices, including CI/CD for ML models Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI) Preferred Proficiency in optimizing generative models for inference (quantization, pruning, distillation) Experience with distributed training of large-scale AI models Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server) Key Responsibilities Architect and implement end-to-end generative AI solutions, from data preparation to production deployment Develop custom AI models and fine-tune pre-trained models for specific client use cases Optimize generative models for production, balancing performance, latency, and resource utilization Design and implement efficient data pipelines for training and serving generative models Develop strategies for effective prompt engineering and few-shot learning in production systems Implement robust evaluation frameworks for generative AI outputs Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems Address challenges related to bias, fairness, and ethical considerations in generative AI applications Project Delivery Lead the technical aspects of generative AI projects from pilot to production Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems Conduct technical feasibility studies for applying generative AI to novel use cases Implement monitoring and observability solutions for deployed generative models Troubleshoot and optimize generative AI systems in production environments Client Engagement Provide expert technical guidance on generative AI capabilities and limitations to clients Collaborate with solution architects to design generative AI-powered solutions that meet client needs Present technical approaches and results to both technical and non-technical stakeholders Assist in scoping and estimating generative AI projects Innovation and Knowledge Sharing Stay at the forefront of generative AI research and industry trends Contribute to the company's intellectual property through patents or research publications Develop internal tools and frameworks to accelerate generative AI development Mentor junior team members on generative AI technologies and best practices Contribute to technical blog posts and whitepapers on generative AI applications The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what's possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients. Show more Show less

Job Title - <9 - Consulant> Management Level: 9-Team Lead/Consultant Location: Delhi, Gurgaon, Mumbai, Bangalore, Chennai, Pune, Hyderabad Must-have skills: Japanese Language Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and knowledge/experience on Google Gen AI product suite like Vertex AI, Google Gemini, Decibel, Generators, Generative Fallback, Playbooks, LLM based topic modelling, LLM Agent Assist. Drive design thinking innovative workshops with the clients using design principles and help shape their Gen AI implementation strategy thinking about the business value proposition and customer experience. Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with Accenture and client team on CCaaS (Contact Center as a Service) migration Deliver using agile delivery process, continuous improvement and continuous development Work with other Accenture teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Bring your best skills forward to excel at the role: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough understanding of CCAI Framework and integration with internal and external components. Additional Information: Opportunity to work on innovative projects. Career growth and leadership exposure. Passion for building leading class Google contact center solutions for clients Having thorough understanding of end to end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Experience of building Gen AI based use-cases and solutions that work across industries and markets Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Ability to work effectively in a remote, inclusive, virtual, global environment About Our Company | Accenture Experience: 5-10 years Educational Qualification: B.E or B.Tech Show more Show less

Job Summary Ecolab’s AI Engineering organization is seeking a highly experienced Lead Data Scientist to lead the development of cutting-edge AI/ML, and data science solutions that power our commercial Digital solutions. In this hands-on role, you will be responsible for designing, building, and deploying AI-powered solutions that drive business value and innovation. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-impact projects. Key Responsibilities Design and Develop AI-Powered Solutions: Lead the design, development, and deployment of AI-powered solutions using Azure Databricks, and other components or our technology stack. Technical Leadership: Provide technical leadership and guidance to junior data scientists and engineers on Databricks, Mosaic AI, and AI agent development. Mentor and coach team members to improve their skills and expertise. Databricks and Mosaic AI Expertise: Develop and maintain expertise in Databricks and Mosaic AI, staying up-to-date with the latest features and best practices. Apply this expertise to drive the adoption of these technologies within the organization. AI Agent Development: Design and develop AI agents using Mosaic AI and other relevant technologies. Collaborate with stakeholders to identify opportunities for AI agents to drive business value. Data Science Innovation: Stay abreast of the latest advancements in data science and AI, identifying opportunities to apply new techniques and technologies to drive business innovation. Collaboration and Communication: Collaborate with stakeholders across the organization to identify business problems and develop data-driven solutions. Communicate complex technical concepts to non-technical stakeholders, driving adoption and understanding of data science solutions. Requirements Education/Experience: Degree or advanced degree in data science, physics, mathematics, statistics, computer science or related quantitative field. BS and 10+ years related experience or MS and 7+ years related experience or PhD and less than 2 years’ experience. 1-3 Years Supervisory experience preferred. Technical Skills: Proficiency in Databricks, or a similar platform like AWS SageMaker, Azure Machine Learning, Vertex AI, and others. Strong programming skills in languages such as Python, Scala, SQL, etc. Familiarity with data engineering, data warehousing, and data governance. Soft Skills Excellent communication and collaboration skills. Strong leadership and mentoring skills. Ability to drive innovation and stay up-to-date with the latest advancements in data science and AI. Nice To Have Experience with Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or Google Cloud. Experience with AI agents: Experience developing AI agents using Mosaic AI or similar code-first platforms. Certifications: Databricks or Mosaic AI certifications are a plus. Open-Source Contributions: Contributions to open-source projects related to data science, machine learning, or AI. What We Offer Opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments. Ability to make an impact and shape your career with a company that is passionate about your growth. The opportunity to work with the latest technologies and techniques in the data science and machine learning engineering field, acting as the subject matter expert in a growing organization within the company. Support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best. If you're passionate about data science, AI, and innovation, we'd love to hear from you! Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Our Commitment to Diversity and Inclusion Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability. Show more Show less

We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Senior Software Engineer We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Overview Why work for just any analytics company? At Alteryx, Inc., we are explorers, dreamers and innovators. We’re on a journey to build the best analytics platform in the world, but we can’t do it without people like you, leading the way. Forget the stereotypical tech companies of the past. Embrace the unconventional, exercise your imagination and help alter the future with Alteryx. Job Title: Senior Software Engineer - AI/ML Location: Bangalore (Hybrid) Department: Engineering / Data Science / AI Solutions Reports To: Engineering Manager / Technical Lead About Alteryx At Alteryx, we’re transforming the way businesses leverage data. Our AI/ML solutions empower teams to make data-driven decisions, and we’re seeking a Senior Software Engineer - AI/ML to join our engineering team in Bangalore. In this role, you’ll contribute to developing and deploying scalable AI/ML solutions, leveraging Python and React to build impactful applications. While experience with Scala is a plus, a strong understanding of AI/ML algorithms and cloud infrastructure (preferably GCP, but AWS experience is also welcome) is essential. Key Responsibilities Design, develop, and deploy scalable AI/ML models using Python and React. Collaborate with data scientists and ML engineers to integrate models into productionenvironments Build interactive and dynamic web applications using React to visualize AI/ML insights Develop and maintain data pipelines to support model training, evaluation, and deployment mplement best practices for building efficient, maintainable, and scalable machine learning solutions Design and optimize data processing systems using GCP AI/ML services (preferred) or AWS ML tools Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Drive code quality, conduct peer code reviews, and improve system performance Research and stay updated on emerging AI/ML frameworks, libraries, and trend Required Skills & Experience 5+ years of experience as a Software Engineer or ML Engineer Strong programming skills in Python (mandatory) with experience in building scalable backend systems Hands-on experience with React for developing dynamic and interactive UI components Solid understanding of AI/ML algorithms, such as regression models, decision trees, clustering, and neural networks Multiple-LLMs, GenAI - HuggingFace, LangChain, LangGraph etc Vector databases, RAG Cloud databases, Snowflake, data warehouses, data lake etc Experience in building, training, and deploying ML models in cloud environments like GCP (preferred) or AWS Familiarity with data pipelines, ETL processes, and model serving frameworks (e.g., MLFlow, Kubeflow, or Seldon) Strong grasp of software engineering best practices such as code reviews, version control, and CI/CD pipelines Excellent problem-solving skills and the ability to work independently or collaboratively in a fast-paced environment Preferred Skills Experience with Scala for data engineering or large-scale ML pipelines Familiarity with GCP AI Platform, Vertex AI, or Amazon SageMaker Knowledge of RESTful API development and microservices architecture Understanding of containerization and orchestration tools such as Docker and Kubernetes Why Join Us? Be part of a forward-thinking team that values innovation and collaboration. Work on impactful AI/ML projects that solve real-world business challenges. Enjoy a flexible work environment with opportunities for growth and development Access to cutting-edge tools, cloud platforms, and the latest advancements in AI/ML. Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences. This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls. 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It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Description As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required Qualifications 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred Qualifications Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Company Description Jobs by Divya Bhardwaj is a LinkedIn page dedicated to listing job opportunities across Europe, the USA, and India for various skill sets. By posting jobs, we assist our connections in finding suitable positions. Our platform helps candidates connect directly for further information. Follow us for the latest job updates. Role Description This is a contract remote role for an AI Architect CCAI. The AI Architect will be responsible for designing and implementing AI architectures, developing software solutions, integrating systems, and managing projects. The role includes collaboration with cross-functional teams to create architectural designs and ensure successful project delivery. We're Hiring: AI Architect with GCCAI Expertise Location: PAN India (Remote flexibility) Join us on an exciting AI transformation journey for a leading retail client in the Philippines. This project is focused on modernizing Contact Center operations #GoogleCloud CCAI #GCP technologies—driving smarter customer interactions, reduced wait times, and elevated agent productivity. 👨‍💻 Key Skills We’re Looking For: ✅ Google #CCAI , Vertex AI, GPT-4, PaLM ✅ Dialogflow CX (Voice & Text) #GenAI Applications: Summarization, Q&A, Document Intelligence ✅ Data Engineering #BigQuery , #Dataflow , Pub/Sub) ✅ MLOps (Vertex Pipelines, Kubeflow, CI/CD) ✅ LangChain, Pinecone, LlamaIndex ✅ Telephony & IVR Integration, Voice AI ✅ STT, TTS, Agent Assist, Real-time Transcription ✅ AI Governance (HIPAA, GDPR), Ethical AI Practices ✅ Dashboarding & Reporting (Looker, Tableau) 📌 Looking for experts who can lead architecture, collaborate cross-functionally, and build enterprise-scale conversational AI solutions. 🔗 Interested or know someone perfect for this role? Show more Show less

Core experience in SAP BASIS and HANA administration 1. Proficiency in SAP products: S/4 HANA, ECC 6.0 EHP5, SAP PI/PO, SAP BW, Solution Manager, portal system, Fiori system, BODS/BOBJ, LaMa, and SLT 2. Experience in Cloud ALM is essential, experience in BTP and Rise with SAP is preferred Managing SAP applications on cloud environments (AWS, Azure, SAP, and GCP) 4. Experience in migrations from on-premise to on-premise/cloud environments 5. Ability to work on both OS (Linux/Unix) tasks for SAP as well as SAP Basis runtime administration 6. Proficiency in SAP NetWeaver ABAP Basis and SAP NetWeaver Java Basis tasks 7. Extensive experience in HANA System replication, root cause analysis, and fixing issues related to system replication, performance, memory/CPU bottlenecks, HANA failovers, and system unavailability 8. A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Hands-on experience and good knowledge of SSO (both Kerberos and SAML based SSO), configuring EWA reports, and Charm configuration 10. Experience in handling SSL scenarios, renewing, updating certificates, and troubleshooting certificate-related issues 11. Experience in system refresh, HANA DB upgrades, kernel updates, SPS updates, release upgrades, etc 12. Working knowledge of integrating 3rd Party tools with SAP systems like Esker, Taulia, Vertex, OpenText, Libelle, NLS (IQ), PowerBI PowerApps, Denodo, HVR, SuccessFactors, Splunk, and UC4 9. Show more Show less

Dear Candidate Greetings from TCS !!! TCS has been a great pioneer in feeding the fire of young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. Role: Oracle and Mongo DBA Location: Chennai, Hyderabad, Kolkata Experience Range: 8 to 12 years Job Description: Experience : Proven experience as a Sr. Oracle DBA Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies Proficiency in programming languages like Bash, Python, and PerlExcellence in communication and teamwork is a must. Skills Required : Sr DBA with Mongo: a) Strong communication skills b) Strong Telecom Domain knowledge c) Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies d) Mongo - Hands-on experience in Mongo collections ( More on data side than on Infra side ) . Should be able to perform POCs for data transfers from Mongo collections to AWS S3 ( or any similar cloud environments ) e) Cassandra / Graph DB - Strong understanding on the GRAPH DB concepts ( vertex , edges etc ) . Able to help DEV teams to setup the environment to satisfy their Data Modelling requirements. F) Hands-on experience and knowledge in implementing security standards, fixing vulnerabilities. G) Automate tasks like security patching , Data archival and any repeated tasks at Platform end. Show more Show less

Dear Candidate Greetings from TCS !!! TCS has been a great pioneer in feeding the fire of young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. Role: Oracle and Mongo DBA Location: Chennai, Hyderabad, Kolkata Experience Range: 8 to 12 years Job Description: Experience : Proven experience as a Sr. Oracle DBA Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies Proficiency in programming languages like Bash, Python, and PerlExcellence in communication and teamwork is a must. Skills Required : Sr DBA with Mongo: a) Strong communication skills b) Strong Telecom Domain knowledge c) Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies d) Mongo - Hands-on experience in Mongo collections ( More on data side than on Infra side ) . Should be able to perform POCs for data transfers from Mongo collections to AWS S3 ( or any similar cloud environments ) e) Cassandra / Graph DB - Strong understanding on the GRAPH DB concepts ( vertex , edges etc ) . Able to help DEV teams to setup the environment to satisfy their Data Modelling requirements. F) Hands-on experience and knowledge in implementing security standards, fixing vulnerabilities. G) Automate tasks like security patching , Data archival and any repeated tasks at Platform end. Show more Show less

Dear Candidate Greetings from TCS !!! TCS has been a great pioneer in feeding the fire of young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. Role: Oracle and Mongo DBA Location: Chennai, Hyderabad, Kolkata Experience Range: 8 to 12 years Job Description: Experience : Proven experience as a Sr. Oracle DBA Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies Proficiency in programming languages like Bash, Python, and PerlExcellence in communication and teamwork is a must. Skills Required : Sr DBA with Mongo: a) Strong communication skills b) Strong Telecom Domain knowledge c) Oracle - Experience in GoldenGate , RAC , PL/SQL , experience Data Archival strategies d) Mongo - Hands-on experience in Mongo collections ( More on data side than on Infra side ) . Should be able to perform POCs for data transfers from Mongo collections to AWS S3 ( or any similar cloud environments ) e) Cassandra / Graph DB - Strong understanding on the GRAPH DB concepts ( vertex , edges etc ) . Able to help DEV teams to setup the environment to satisfy their Data Modelling requirements. F) Hands-on experience and knowledge in implementing security standards, fixing vulnerabilities. G) Automate tasks like security patching , Data archival and any repeated tasks at Platform end. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

We are seeking a Technical Lead with strong Application Development expertise in Google Cloud Platform (GCP). The successful candidate will provide technical leadership in designing and implementing robust, scalable cloud-based solutions. If you are an experienced professional passionate about GCP technologies and committed to staying abreast of emerging trends, apply today. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, establishing and adhering to cloud architecture standards and best practices Hands on coding experience in building Java Applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, PubSub, etc. Develop low-level application architecture designs based on enterprise standards Choose appropriate GCP services meeting functional and non-functional requirements Demonstrate comprehensive knowledge with GCP PaaS, Serverless, and Database services Provide technical leadership to development and infrastructure teams, guiding them throughout the project lifecycle Ensure all cloud-based solutions comply with security and regulatory standards Enhance cloud-based solutions optimizing performance, cost, and scalability Stay up-to-date with the latest cloud technologies and trends in the industry Familiarity with GCP GenAI solutions and models including Vertex.ai, Codebison, and Gemini models is preferred, but not required Having hands on experience in front end technologies like Angular or React will be added advantage Requirements Bachelor's or Master's degree in Computer Science, Information Technology, or a similar field Must have 8 + years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring Solid understanding of cloud security best practices and experience in implementing security controls in GCP Thorough understanding of cloud architecture principles and best practices Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles Proven leadership skills and the ability to mentor and guide a technical team Show more Show less

📢 We're Hiring: Graphic Designer at Pixell (A Vertex Group Company) Pixell is a tech-driven startup transforming how brands manage store branding and marketing execution. We're looking for a Graphic Designer (2–7 yrs exp.) who can take full ownership of visual content—from social media creatives, presentations, and brochures to UI assets and pitch decks. 🎨 What You'll Do: •Design for digital (social, web, email) & print •Create branding materials and marketing collaterals •Collaborate with marketing/product teams •Maintain brand consistency across all visuals ✅ Requirements: •2–7 years of experience •Proficient in Adobe Suite (Photoshop, Illustrator, InDesign) •Basic knowledge of Figma & motion graphics is a plus •Strong portfolio is a must •Ability to work independently in a fast-paced startup 📍 Location: Faridabad 📩 Send your resume + portfolio to arifa@pixell.in Show more Show less

MSCI Inc. seeks a dynamic SAP Finance Technology Director. This role will be part of the Business Technology department and will lead the Finance Tech team located in India (Mumbai or Pune), working closely with finance and business stakeholders to ensure the systems that support MSCI's order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A operate seamlessly and efficiently. As the SAP Finance Technology Director, you will be responsible for driving global projects for the implementation, enhancement, and maintenance of both finance systems and finance processes to automate and streamline operations. This includes working with SAP modules like ECC, BPC, and GRC while ensuring integration with other financial and reporting tools like RevStream, Vertex, Concur, or Board, as well as other core solutions like Salesforce or Workday. You will collaborate across regions and departments to ensure that technology solutions meet business needs and regulatory requirements, driving continuous improvements, while ensuring compliance with SOX controls and audit requirements. The SAP Finance Technology Director will manage a team of direct reports and contractors to support the overall operations of both Financial Systems and Financial Processes. As a Finance Technology Lead, you will be responsible for Finance Systems Management Operate, maintain, and improve the systems that support order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A processes. System Enhancements Lead the identification, development, and implementation of system enhancements that automate and improve the accuracy and efficiency of finance operations. Cross-functional Collaboration Work closely with Business (finance, sales, sales operations, product, client services, etc.) and IT teams to translate functional requirements into technical solutions. Ensure smooth integration of financial systems with other financial and operational platforms. Project Management Oversee projects related to system upgrades like a migration to SAP S/4HANA, new functionality deployments, and process automation initiatives. Ensure that projects are delivered on time and within budget. Compliance and Audit Support Ensure that the systems supporting revenue processes are compliant with internal controls and regulatory requirements, including SOX cycles, Standard Operating Procedures (SOPs), and audit protocols. Training and Support Provide technical guidance and training to finance and IT teams on the systems and processes supporting Revenue Recognition. Act as the go-to expert for system-related inquiries and troubleshooting. Stakeholder Communication Communicate system updates, enhancements, and issues to senior IT leadership and key stakeholders within the finance and business departments. Technical Expertise in ERP Systems Extensive experience with SAP systems (e.g., ECC, BPC, GRC). Experience in integrating with complementary business applications such as Salesforce, Concur, Vertex, or Workiva is helpful. Business Process Knowledge Familiarity with finance processes order-to-cash, record-to-report, procure-to-pay, revenue recognition, and FP&A. Project Management Proven experience in managing global large-scale IT projects, particularly those involving financial systems implementation or upgrades. Cross-functional Collaboration Ability to effectively collaborate with finance, business, and IT teams to deliver technology solutions that meet business requirements. Systems Integration Strong understanding of systems integration principles, particularly as they relate to financial reporting and revenue management systems. Compliance and Security Knowledge of SOX compliance, internal controls, and system security requirements as they pertain to financial systems. Problem-solving Skills Analytical and problem-solving skills with the ability to troubleshoot complex system issues and provide efficient solutions. Leadership and Team Development Experience managing a team of IT professionals, providing leadership coaching, and guidance in system support and project execution. Communication Skills Strong written and verbal communication skills in English, with the ability to clearly explain technical concepts to non-technical stakeholders. Preferred Qualifications Masters in Technology-related or Finance-related domain Preferred Experience 10-15 years of strong operational experience with SAP or similar ERP systems. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Job Description It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc . magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way. We are looking for a Staff Data Science Engineer to join our IT Applications and Data team located in Bangalore, reporting to the senior director of Business Intelligence. In this role, you will collaborate with various business functions and IT Development teams to deliver data science and analytics capabilities for the company. You will work with the IT development and product manager to discover the information hidden in data and help us provide insights and make smarter decisions using that data. This is an exceptional opportunity to join a growing, successful, and innovative organization. Infoblox allows you to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration. You are the ideal candidate if you can influence, collaborate, and break down complex business information into easy-to-understand data products. What you’ll do: Maintain an in-depth understanding of business needs by working closely with stakeholders and understand how data can be turned into information and knowledge Apply data mining techniques, perform statistical analysis, and build high-quality prediction solutions Collect and prepare data from the datalake and other sources and build machine learning (ML) techniques and analytic capabilities Work with IT management and senior engineers to share model outputs through business intelligence (BI) dashboards Complete ad hoc analysis and present results to business users Develop Generative AI (Gen AI) models for use cases such as text generation, summarization, and conversational AI Implement Large Language Models (LLMs) using Python-based frameworks such as LangChain, Hugging Face Transformers, OpenAI APIs, and TensorFlow/Keras Fine-tune and optimize Gen AI models for domain-specific applications Work with Microsoft Fabric for data engineering, real-time analytics, and AI integration Implement Retrieval-Augmented Generation (RAG) techniques to enhance LLM responses using enterprise knowledge bases What you’ll bring: 12+ years of data science experience that includes thought leadership and a sound understanding of business objectives and processes in SaaS companies preferred Solid programming and scripting skills in Python, with experience in PyTorch, TensorFlow, Scikit-learn, and MLflow Hands-on experience with ML algorithms and data science toolkits, such as R, Numpy, and MatLab Practical experience with Generative AI models, such as GPT, BERT, T5, or Stable Diffusion, and LLMs Experience in model deployment and serving using tools like FastAPI, Flask, MLflow, or Vertex AI Understanding of Microsoft Fabric and its ML and AI capabilities Knowledge of RAG for enhancing LLM applications with external data retrieval Excellent scripting and programming skills, including SQL and data extraction tools Sound applied statistical skills, such as statistical testing and regression Fair understanding of BI technologies, such as Tableau and big data analytics Ability to work with managers to use storytelling to showcase the business value of the data science deliveries to executives Bachelor’s degree in computer science, engineering, or a related field; advanced degree preferred What success looks like: After six months, you will… Be the conduit to bring out analytical insights for revenue growth and churn reduction Use your strong cross-functional business knowledge to create data science solutions After About a Year, You Will… Be a critical part of delivering AI possibilities leveraging ML Be a key contributor in elevating the analytic opportunities for the company using IT-managed applications’ data Have a solid relationship with stakeholders We’ve got you covered: Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers. Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location Delicious and healthy snacks and beverages Electric vehicle charging stations Outdoor amenities (onsite gym, table tennis, pool table, play area, and courtyard Newly remodeled offices with state-of-the-art amenities Why Infoblox? We’ve created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer . We think you’ll be excited to join our team. Show more Show less

Job Title: Manager / Senior Manager – U.S. Indirect Taxation Location: Gurgaon, India Experience: 6 to 10 years Employment Type: Full-time Department: FSS Location: Gurgaon, India Shift: Willingness to work in overlapping U.S. time zones (partial or full shift depending on team structure) Key Responsibilities: Oversee U.S. indirect tax compliance including sales & use tax filings, Property Tax, business license renewals, and exemption certificate management Manage indirect tax registrations, monthly filings, reconciliations , and ensure timely payments across multiple U.S. states Manage Property Tax registrations, filings, reconciliations , AVs and Bills Tracking and ensure timely payments across multiple U.S. states Monitor legislative updates and assess the impact on business operations and tax compliance processes Work with U.S.-based teams to handle tax audits, notices, nexus analysis , and respond to state authorities Support sales tax determination logic, tax engine configurations (e.g., Vertex, Avalara), and ERP mapping Collaborate with internal finance, IT, and operations teams to ensure end-to-end tax compliance Lead or support tax technology transformation projects, including automation of tax processes and reporting Develop and implement indirect tax controls, documentation, and standard operating procedures Act as a subject matter expert for U.S. transaction taxes for internal stakeholders and auditors. Work with IT and other support teams towards Automation of process to enable efficiency. Qualifications: Bachelor’s or Master’s degree in Accounting, Finance, Commerce, or related field CPA / CA / MBA Finance preferred 6–10 years of hands-on experience in U.S. indirect tax , ideally in a multinational company or Big 4 / large consulting firm Strong knowledge of U.S. sales & use tax regulations , multi-state tax rules, and tax compliance tools Proficiency in ERP systems (e.g., SAP, Oracle) and tax engines (e.g. Avalara) Experience working with U.S. clients or cross-border tax teams from India Skills & Competencies: Attention to detail with strong analytical and problem-solving skills Excellent communication skills – both written and verbal Ability to manage competing deadlines and work independently Efficient with Tools loke Power BI for presentation purpose. Show more Show less

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less