Job Title: Senior Applied Scientist, International Machine Learning Company: Amazon Job Category: Machine Learning Roles & Responsibilities: We are developing state\-of\-the\-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real\-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real\-time model implementations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large\-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About The Team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom\-line and top\-line of India business. Learn more about our team from https://www.amazon.science/working\-at\-amazon/how\-rajeev\-rastogis\-machine\-learning\-team\-in\-india\-develops\-innovations\-for\-customers\-worldwide Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Data Scientist - Intermediate Company: Equifax Job Category: Machine Learning Roles & Responsibilities: Manage Preferences Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What you will do * Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, account management to ensure their accuracy, reliability, and compliance. * Utilize Google Cloud Platform (GCP) to enhance efficiency by automating workflows and improving process integration. * Execute AI validation projects, contributing to their conceptualization, planning, and successful implementation in alignment with organizational goals. * Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment. * Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. * Stay current with industry best practices and regulatory guidelines related to model risk management At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Work Location: Pune, India Availability: Full time

Job Title: Data Scientist Vice President Company: Citi Job Category: Machine Learning Roles & Responsibilities: We are looking for an experienced AI Engineer to design, develop, and deploy enterprise\-grade AI solutions that transform how Third\-Party Management teams assess, monitor, and manage supplier and vendor risks. This role combines software engineering, AI engineering, analytics, and product development to build intelligent applications that improve operational efficiency, decision quality, and user experience. The successful candidate will partner closely with business stakeholders, data engineers, technology teams, and AI governance partners to deliver scalable AI capabilities aligned with enterprise standards. Key Responsibilities AI Solution Development * Design and build enterprise AI applications using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), and agentic AI architectures. * Develop AI\-powered copilots, knowledge assistants, workflow automation, and decision\-support tools. * Build reusable AI services, APIs, and components for enterprise adoption. * Develop multi\-agent workflows for complex business processes. Software Engineering * Build scalable Python\-based backend services and APIs. * Develop modern web applications using enterprise UI frameworks. * Integrate AI services with internal data platforms and enterprise applications. * Write clean, modular, and production\-ready code. AI Governance * Ensure AI solutions comply with enterprise governance, security, and model risk requirements. * Support model evaluation, monitoring, auditability, and explainability. * Collaborate with AI governance teams on documentation and deployment approvals. Collaboration * Partner with business stakeholders to understand challenges and identify AI opportunities. * Work closely with technology, architecture, cybersecurity, and data engineering teams. * Support production deployment and operationalization of AI solutions. * Mentor junior engineers and contribute to AI engineering best practices. * LLM application development * Retrieval\-Augmented Generation (RAG) * Agentic AI frameworks * Prompt engineering * Vector databases * Knowledge Graphs * AI orchestration frameworks * Enterprise AI platforms * Model evaluation frameworks * MLOps or LLMOps * Kubernetes * CI/CD * Banking, financial services, or risk management Leadership Expectations * Demonstrate ownership from concept through production deployment. * Drive innovation while maintaining engineering excellence. * Communicate effectively with technical and non\-technical stakeholders. * Promote responsible AI practices and continuous learning. * Foster collaboration across global, cross\-functional teams. * Working Environment: office setting, minimal travel required. * Effort: minimal physical effort required. Job Family Group: Decision Management Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Artificial Intelligence/Machine Learning Engineer Company: Ciklum India Job Category: Machine Learning Roles & Responsibilities: Job Description Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full\-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About The Role As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross\-functional development team engineering experiences of tomorrow. Responsibilities * Design and build identifier extraction and intent detection (DOI, ISSN, ISBN, title) for free\-text requests using Azure OpenAI within Kore.ai flows * Build an evaluation set from 200 to 300 labelled historic requests and produce an accuracy report * Define prompts, guardrails, confidence thresholds and fallback to human routing * Work with the conversation designer on structured intake and deflection logic * Connect model outputs to the Snowflake coverage check and the ticket routing rules * Support SIT and UAT, triage model defects and tune performance * Document the model design, PII handling and monitoring for handover * Contribute to demos, design reviews and the Cycle 1 learning report India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game\-changing solutions and take your career to the next level. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: Associate Data Scientist - Value & Access Strategy Company: Amgen Job Category: Machine Learning Roles & Responsibilities: India \- Hyderabad JOB ID: R\-258314 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 30, 2026 CATEGORY: Value and Access ABOUT AMGEN ABOUT THE ROLE Role Description: In this role, you will work on production\-grade AI systems, contributing to the development of scalable, intelligent solutions that integrate structured and unstructured data, power decision\-making, and deliver measurable business impact. You will collaborate with senior data scientists, engineers, and business partners to bring cutting\-edge GenAI, LLM, and ML solutions from prototype to production. Roles \& Responsibilities: * AI Copilots \& Agents: Build LLM\-powered assistants, implement prompt engineering, Retrieval\-Augmented Generation (RAG) pipelines, and agentic workflows and related applications * Intelligent Document \& Contract AI: Extract, classify, and query insights from unstructured documents (contracts, policies, SOPs); build NLP pipelines for semantic search and summarization * Data \& AI Platforms: Work on data ingestion, transformation, and feature engineering pipelines; contribute to scalable AI/ML infrastructure * Real\-time AI Systems: Build APIs, dashboards, and backend services that power AI\-driven insights for end users * Analytics \& Decision Engines: Develop anomaly detection models (e.g., claims, pricing, Gross\-to\-Net); build forecasting and optimization models to support commercial decisions * Collaborate with cross\-functional technical teams to translate business needs into technical specifications, focusing on AI\-driven automation and insights * Participate in code reviews, design discussions, and adopt best practices across MLOps and software engineering Work Location: Hyderābād, India Availability: Full time

Job Title: Data Science Intern Company: DNV Job Category: Machine Learning Roles & Responsibilities: We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. * Understand the project and the domain * Develop and evaluate machine learning and AI\-based solutions for business applications. * Experiment with AI agents, agentic workflows, and intelligent automation solutions. * Contribute to the development and deployment of AI\-powered tools that support knowledge discovery, productivity, and decision\-making. * Evaluate model quality, reliability, and user experience using established AI evaluation methodologies. * Collaborate with software engineers, product teams, and subject matter experts. * Share progress, findings, and demonstrations with stakeholders. * Demonstrate DNV core values of care, dare and share throughout ### What we offer * Being part of a truly international company with more than 160 years of heritage in a transitioning industry. * Hands\-on experience working with modern AI technologies and cloud platforms. * Working with great colleagues who value teamwork and team development. * Building a professional network through experts within DNV. * A chance for a full\-time role after graduation, based on performance. Our work helps pioneering companies and covers latest trends, regulations, initiatives to develop solutions to the most complex challenges the maritime industry is facing. By using an online or video link to the vessel, our dedicated remote surveyors can support vessels anywhere in the world. The cloud\-based digital twin is a virtual image of customers’ assets, maintained through the lifecycle and easily accessible at any time. ### Professional Development We support you in exploring different career opportunities or shifting between teams, business areas, or geographies, so that you can shape your career according to what you find motivating. At DNV you can expect to deliver career and industry defining work. You’ll be given the time to build your network, the resources to support your development, and the freedom to satisfy your curiosity and desire to learn. Work Location: Maharashtra, India Availability: Full time

Job Title: Staff Software Engineer - AI I Company: Thomson Reuters Job Category: Machine Learning Roles & Responsibilities: Staff Software Engineer\- AI Are you passionate about building AI\-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a globalleader. As a Staff Software Engineer – AI, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. About The Role As a Staff Software Engineer – AI, you will: * You will spearhead the development of cutting\-edge AI\-powered solutions and driving technical strategy. You will collaborate with senior stakeholders, product leadership, and cross\-functional teams to architect, build, and scale enterprise\-grade AI systems that transform how our organization delivers value to customers. * Design and lead the implementation of complex, enterprise\-scale AI systems, including sophisticated multi\-component pipelines, advanced retrieval\-augmented generation (RAG) architectures, and autonomous AI agents with multi\-step reasoning capabilities . * Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures. * Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud and compliance. * Define technical standards and best practices for AI system architecture across the organization * Lead evaluation and strategic adoption of cutting\-edge AI techniques to solve complex business challenges. * Oversee proof\-of\-concept projects and guide technical feasibility assessments for new AI\-driven features. * Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps. * Drive innovation initiatives and establish the organization's position in emerging AI technology areas * Lead technical architecture decisions and translate high\-level business requirements into comprehensive, scalable technical specifications. * Mentor a team of senior and junior Software engineers, fostering technical growth and career development. * Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives. * Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events . * Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale. * Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements. * Conduct advanced systems analysis and drive operational improvements across AI infrastructure. * Establish governance frameworks for AI model lifecycle management * Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market\-leading applications. * Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost efficiency, and user experience. * Lead strategic initiatives for application feature enhancements through advanced AI capabilities. * Influence product strategy through deep technical expertise and market understanding. What’s in it For You? * Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office\-based roles while delivering a seamless experience that is digitally and physically connected. * Flexibility \& Work\-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work\-life balance. * Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real\-world solutions. Our Grow My Way programming and skills\-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI\-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company\-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. * Culture: Globally recognized, award\-winning reputation for inclusion and belonging, flexibility, work\-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. * Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro\-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. * Making a Real\-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Analyst-Data Science Company: American Express Job Category: Machine Learning Roles & Responsibilities: This Analyst – Data Science role, based out of India, will join the Prospect Cross\-functional team within AIM and execute analytical workstreams supporting prospect targeting and acquisition initiatives. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—the role supports the end\-to\-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI. This role provides an opportunity to build next\-generation AI\-powered capabilities across prospect enrichment, intelligent targeting, lead prioritization, and decision support by combining advanced analytics with modern Generative AI techniques. Working closely with data scientists, product managers, engineers, and business stakeholders, the Analyst will develop scalable analytical solutions that accelerate data\-driven decision making while maintaining the highest standards of Responsible AI and model governance. Shift Time: 1:30 pm \- 9:30 pm (should be flexible to US timing's ) * Degree in a quantitative field preferred, such as Engineering, Mathematics, Computer Science, Finance, Economics, Statistics, or a related discipline. * 1\+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles. * Strong programming skills in Python and SQL, with working knowledge of Hive and/or PySpark in large\-scale data environments, hands\-on experience developing machine learning models end\-to\-end, and familiarity with software engineering best practices including Git\-based version control. * Demonstrated hands\-on experience building or experimenting with LLM\-based applications, including Retrieval\-Augmented Generation (RAG), prompt engineering, semantic search, embeddings, structured outputs, or AI\-powered assistants. * Knowledge of supervised machine learning techniques (e.g., gradient boosting, tree\-based models, regression, clustering) and statistical techniques such as hypothesis testing, multivariate testing, ANOVA, and model evaluation methodologies. * Exposure to AI agent frameworks, tool/function calling, vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy), context management, or workflow automation is a plus. * Familiarity with modern ML/AI development frameworks, open\-source libraries, prompt lifecycle management, and evaluation frameworks. * Strong analytical and problem\-solving skills, with the ability to execute well\-defined analytical tasks accurately and efficiently. * Demonstrated ability to manage assigned work independently while collaborating effectively within a cross\-functional team. * High attention to detail, intellectual curiosity, and an experimentation mindset with the ability to evaluate solutions objectively and iterate based on evidence. * Strong written and verbal communication skills, with the ability to clearly explain analytical findings and support stakeholder discussions. * Familiarity with Responsible AI principles, including explainability, bias and fairness assessment, hallucination mitigation, prompt safety, model monitoring, evaluation, audit readiness, and GenAI risk management practices. At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Haryana, India Availability: Full time

Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time

Job Title: Data Scientist-Artificial Intelligence Company: IBM Job Category: Machine Learning Roles & Responsibilities: Introduction A career in IBM Consulting is built on long\-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long\-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models. Your Primary Responsibilities Will Include * Design AI Solutions: Architect and deliver AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. * Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. * Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. * Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. * Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI\-driven solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time