Job Title: Data Scientist (3-5 years) Company: PhonePe Job Category: Machine Learning Roles & Responsibilities: Job Description PhonePe is seeking a highly analytical and driven Data Scientist to join our team. This role requires a minimum of one year of professional experience and a robust foundation in scalable machine learning implementations. The successful candidate will play a pivotal role in designing and deploying sophisticated models that drive strategic business initiatives. Core Responsibilities * Model Development \& Deployment: Design, develop, and deploy scalable machine learning models across diverse environments, encompassing offline batch processing, real\-time online systems, and edge computing architectures. * Advanced Analytics: Conduct rigorous analysis of complex, high\-volume datasets to extract actionable insights and inform strategic business decisions. * Cross\-Functional Collaboration: Partner with engineering, product, and business stakeholders to define core challenges and formulate robust, data\-driven solutions. * Technical Communication: Synthesize and present complex quantitative findings, methodologies, and strategic recommendations to both technical and non\-technical executive stakeholders. Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, please fill out this form. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: TC - MENA Technology - AI - ML Developer - Senior Company: EY Job Category: Machine Learning Roles & Responsibilities: TC \- MENA Technology \- AIML Developer – Senior As part of the TC\- MENA Technology team, Senior role create value by helping clients solve complex business problems through differentiated technological solutions. As an AIML developer, we are looking for skilled developers who have experience in designing \& developing Machine learning models, collaborate with business stakeholders and identify AI solutions \& mentoring juniors in the team . Your Key Responsibilities * Design, develop, and train machine learning models using various algorithms and techniques (e.g., neural networks, deep learning, reinforcement learning). * Adapt pre\-trained Gen AI models / fine\-tune Gen AI models to specific tasks or domains, ensuring optimal performance. * Develop effective prompts and techniques to guide Gen AI models and generate high\-quality outputs. * Optimize AI algorithms for performance, efficiency, and scalability. * Stay updated on the latest advancements in AI and explore new techniques and applications. * Work closely with other teams (e.g., data scientists, software engineers) to integrate AI solutions into existing products or services. * Uphold ethical AI practices, ensuring compliance with data privacy laws and addressing bias and fairness in AI applications. * Collaborate with business stakeholders to understand their needs and develop AI solutions that deliver tangible value. * Support, coaching and feedback from some of the most engaging colleagues around * Opportunities to develop new skills and progress your career * The freedom and flexibility to handle your role in a way that’s right for you Work Location: Trivandrum, Kerala, India Availability: Full time
Job Title: Machine Learning Engineer II ( Growth & ML), Hyderabad Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: Our Data \& Audience Platform organization builds advanced AI/ML solutions that power identity, audience intelligence, advertising, and personalization at scale. Our Machine Learning Engineering team in Hyderabad develops foundational AI/ML capabilities that transform first\-party data signals into production\-ready machine learning systems. These solutions help expand addressable audiences, improve targeting and measurement, forecast demand, and personalize content discovery — driving advertising yield, marketing efficiency, user engagement, and retention. Our Machine Learning Engineers combine strong data science expertise with hands\-on engineering capabilities to take models from development to production. This includes building production\-grade ML data pipelines, model training and optimization, and scalable ML infrastructure such as feature stores, training and serving pipelines, and MLOps frameworks. We primarily leverage Databricks, along with Snowflake and AWS, and actively embrace emerging technologies, including agentic AI development workflows, to build reliable, scalable, and intelligent machine learning solutions About the Role As a Machine Learning Engineer II, you will work alongside Senior and Staff engineers to build and maintain production ML pipelines, contribute to model development, and grow into a well\-rounded ML engineer who bridges data science and software engineering. This is a hands\-on role for someone with roughly 0-2 years of experience who is eager to work on high\-impact ML systems at scale — from probabilistic identity graphs to single\-title affinity models — and who wants to develop deep expertise across the full ML lifecycle. ML Development \& Modeling Build and maintain end\-to\-end ML pipelines for training, evaluation, and batch inference across use cases such as identity resolution, audience segmentation, and content affinity modeling. Implement and experiment with supervised, unsupervised, and ranking models in Python (scikit\-learn, XGBoost/LightGBM, PyTorch). Develop and maintain data and feature pipelines on Databricks (PySpark, Delta, Workflows) that feed the feature store and model\-training workflows, with attention to idempotency and reproducibility. Support deployment and monitoring of batch inference jobs integrated with downstream activation platforms (e.g., Mosaic, FreeWheel, GAM) and data in Snowflake. Use AI\-assisted development tools (Cursor, GitHub Copilot, Amazon Q) to accelerate coding, debugging, and documentation under guidance. We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Greater Hyderabad Area Availability: Full time
Job Title: AI Innovation & Prototyping Engineer (GenAI / Agentic AI) Company: Hiringhood Job Category: Machine Learning Roles & Responsibilities: They are looking for an AI Innovation \& Prototyping Engineer (GenAI / Agentic AI) to explore, design, and rapidly prototype innovative AI\-powered solutions. The role involves building Generative AI applications, developing agentic AI workflows, experimenting with LLMs and AI frameworks, and transforming proof\-of\-concepts into scalable solutions. This is an exciting opportunity for professionals passionate about emerging AI technologies, rapid experimentation, and solving real\-world business challenges through intelligent automation. Roles \& Responsibilities : * Continuously explore and experiment with the latest AI tools, platforms, applications and emerging technologies. * Work directly with senior management to understand business problems and identify opportunities for AI\-driven solutions. * Develop rapid prototypes and Proof of Concepts (POCs) using Generative AI, Agentic AI and AI\-powered development tools. * Build AI\-powered applications, intelligent assistants, automation workflows and business productivity solutions. * Experiment with LLMs, AI agents, multi\-agent workflows, prompt engineering and RAG\-based applications. * Leverage AI coding tools such as Cursor, GitHub Copilot, Claude Code, OpenAI Codex and similar platforms. * Build and integrate solutions using Python, APIs, databases and third\-party applications. * Explore workflow automation platforms such as n8n, Make, Zapier, Dify and Flowise. * Evaluate emerging AI technologies and recommend suitable solutions for real\-world business use cases. * Present prototypes and solution demonstrations to senior management and incorporate feedback. * Continuously learn, experiment and adopt new technologies to improve solution capabilities. Programming \& Development: * 2 \- 2-3 years of experience in Software Development, Python Development, AI/ML, Automation or Application Development. * Strong passion for Artificial Intelligence and emerging technologies. * Demonstrable experience experimenting with AI tools and building applications or prototypes. * Ability to quickly learn new technologies and independently develop working solutions. * Strong analytical thinking, creativity and problem\-solving capabilities. * Good communication skills and confidence in interacting with senior management. * Self\-motivated, curious and willing to explore technologies beyond conventional development environments. Work Location: Chennai, India Availability: Full time
Job Title: Senior AI/ML Engineer Company: Optum Job Category: Machine Learning Roles & Responsibilities: Primary Responsibilities: * Build and deploy production LLM agents that automate detection, triage, and remediation of platform and application issues * Design and tune RAG pipelines over runbooks, incident history, logs, code, and internal documentation, including chunking strategy, embedding selection, vector store design, hybrid and semantic search, and reranking * Implement agent orchestration: tool/function calling, multi\-step planning, multi\-agent handoffs, memory, and state management * Integrate agents with observability and security platforms (alerting, logging, metrics, vulnerability and incident data) through APIs and MCP\-style tool interfaces * Build the supporting layer agents depend on: tool wrappers, guardrails, human\-in\-the\-loop approval paths, and fallback behavior * Own model and prompt engineering, including model selection, prompt and context optimization, output structuring, and cost/latency tuning; fine\-tune or apply parameter\-efficient techniques where warranted * Build evaluation pipelines and define quality metrics for agent and RAG behavior (retrieval precision and recall, groundedness, hallucination and false\-positive rate, escalation rate, MTTR impact) and iterate based on results * Ship agent capabilities into EVA so developers consume them inside their existing workflow * Partner with SRE, InfoSec, and platform teams to scope which classes of issues are safe to automate and which require human review * Contribute reusable patterns, components, and documentation for agent development across the Optum AI DLC * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer Company: All Job Category: Machine Learning Roles & Responsibilities: Company Description All is a growing technology company focused on applying advanced machine learning and data\-driven solutions to real\-world problems. The organization values innovation, practical impact, and collaboration across engineering and product teams. Team members are encouraged to experiment with new tools and approaches while maintaining high standards for reliability and performance. All offers opportunities to work on challenging projects, contribute to core technical decisions, and grow professionally in a supportive environment. Role Description This is a full\-time, on\-site Machine Learning Engineer role based in Chennai. The Machine Learning Engineer will design, implement, and deploy machine learning models to solve complex business and product challenges. Day\-to\-day work includes exploring and preprocessing data, selecting appropriate modeling techniques, training and evaluating models, and optimizing performance for production use. The role involves close collaboration with software engineers, data scientists, and product stakeholders to integrate models into applications, monitor their behavior, and iterate based on results. The engineer is also expected to document workflows, maintain reproducible pipelines, and stay current with emerging methods and tools in machine learning. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Software Engineer - II Company: Microsoft Job Category: Machine Learning Roles & Responsibilities: The Windows \+ Devices Fundamentals team is responsible for the reliability, compatibility, performance, battery life, and sustainability of Windows devices. Our work spans hardware and OEM partners, the operating system, and application layers – helping protect, manage, and enhance the fundamentals of the Windows ecosystem. We are seeking a self\-driven Software Engineer II to develop the next generation of Windows device optimizations. As advances in AI, silicon, and software create new opportunities, you will deliver solutions that help make exceptional device fundamentals a defining feature of Windows PCs. This role is ideal for an engineer who enjoys investigating complex systems, growing their technical expertise, and independently delivering innovations that improve how people live, work, and play. Responsibilities * Analyze telemetry and trace data to characterize software and hardware behavior, identify patterns, and assess impact on individual devices and at scale. * Diagnose system issues using low\-level debugging and performance\-analysis tools, collaborating with experienced engineers on the most complex investigations. * Identify optimization opportunities and own the design and implementation of well\-scoped improvements. * Deliver robust, high\-quality solutions while considering performance, reliability, maintainability, and consistency with the broader architecture. * Use data to evaluate tradeoffs, prioritize work, and make sound decisions in partially defined problem spaces. * Collaborate with internal teams, OEMs, and hardware partners to deliver improvements, resolve dependencies, and share technical findings across the Windows ecosystem. Work Location: Telangana, India Availability: Full time
Job Title: Senior AI Engineer – Generative AI and AWS Company: LetzBizz Job Category: Machine Learning Roles & Responsibilities: About The Role We are looking for an experienced engineer to develop and deploy AI applications on AWS, combining generative AI, autonomous agents and machine learning. You will take solutions from experimentation through production, with responsibility for reliability, evaluation, security and ongoing operation. Role: Hands\-on engineering with client interaction Key Responsibilities * Develop AI agents capable of planning tasks, using tools, maintaining context and coordinating workflows, including human approvals where required. * Build retrieval\-augmented generation (RAG) solutions covering document ingestion, chunking, embeddings, metadata, vector and hybrid search, reranking and grounded responses. * Connect AI applications to enterprise APIs, data platforms and AWS services through secure, permission\-controlled integrations. * Implement prompts, structured responses, conversation state, routing, fallbacks and error recovery. * Establish automated evaluations for response accuracy, groundedness, retrieval relevance, safety, task completion, latency and cost. * Apply guardrails, personal\-data protection, audit logging and human review controls. * Develop conventional ML workflows where needed, including feature engineering, training, tuning, deployment, monitoring and retraining. * Implement testing, CI/CD, infrastructure automation, model and prompt versioning, observability, alerting and operational documentation. * Work with architects, data engineers, application teams, domain specialists and client stakeholders to define and deliver testable capabilities. * Support demonstrations, user acceptance testing, production releases, troubleshooting, performance improvements and knowledge transfer. Required Skills And Experience * 0-1 years of experience in AI/ML, data science or software engineering, with strong Python programming and production engineering skills. * Hands\-on experience with Amazon Bedrock, including foundation models, Knowledge Bases, Guardrails, model evaluation and agent or tool\-calling implementations. * Strong practical understanding of GenAI and RAG, including embeddings, vector databases, retrieval strategies, reranking and prompt engineering. * Experience with agent orchestration, planning, memory, tool invocation, human approval workflows and multi\-agent coordination. * Working knowledge of supervised learning, feature engineering, model evaluation, deployment, drift detection and monitoring. * Experience integrating solutions using AWS Lambda, Step Functions, OpenSearch, S3 and APIs, with secure access to enterprise data. * Hands\-on experience with Git, automated testing, CI/CD, containers and infrastructure or configuration automation. * Ability to work directly with US\-based business and technical stakeholders, explaining solution behaviour, evaluation results, limitations and engineering trade\-offs. Delivering secure, reliable AI applications with measurable quality, effective agent execution, monitored performance and cost, reusable components, and a successful transition from proof of concept to production. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Lead Data Scientist - Price Elasticity Company: Tredence Job Category: Machine Learning Roles & Responsibilities: Lead Data Scientist – Revenue Growth Management We are looking for a Lead Data Scientist with strong expertise in solving complex business problems using data, with a specific focus on Revenue Growth Management (RGM). Key Responsibilities: Design, build, and deploy predictive and optimization models for RGM use cases such as price optimization, promotion effectiveness, and demand forecasting Translate business problems into analytical frameworks and provide actionable recommendations to improve revenue and profitability Develop model workflows using Python and SQL Apply statistical modeling and machine learning techniques for price elasticity estimation, uplift modeling, and forecasting Collaborate with cross\-functional teams to integrate models into business processes and decision\-making Present insights to stakeholders using data storytelling and visualization techniques Lead end\-to\-end project delivery and mentor junior data scientists Required Skills and Experience: 2-3 years of experience in Data Science or Advanced Analytics with demonstrated business impact Strong programming skills in Python (pandas, scikit\-learn, statsmodels, etc) Proficiency in SQL for data extraction and transformation Deep understanding of classical machine learning techniques (regression, classification, clustering, time series forecasting, optimization) Strong hands\-on experience in Revenue Growth Management (RGM), including: Pricing Analytics / Price Elasticity Modeling Promotion Analytics / Trade Promotion Effectiveness Demand Forecasting / Volume Forecasting Strong foundation in statistics, hypothesis testing, and quantitative problem\-solving Preferred Qualifications: BE / BTech / Master’s or PhD in Computer Science, Statistics, Economics, Operations Research, or related field Experience in FMCG / Retail / CPG domain is highly preferred Exposure to assortment optimization and portfolio analytics Experience with optimization techniques/tools (e.g., linear programming, OR\-Tools, Gurobi) Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) Experience in deploying and monitoring models in production environments Work Location: Pune, Chennai, Bengaluru, India Availability: Full time
Job Title: Applied AI ML Lead RISK MODELING Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: Job Description JPMorganChase \& Co. is a leading global financial services firm with operations worldwide and a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorganChase \& Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its Company and Chase brands. Information about JPMorganChase \& Co. is available at Company website. Chase Consumer \& Community Banking serves consumers and small businesses with a broad range of financial services, and its Risk Management organization partners with each sub\-line of business to identify, assess, prioritize, and remediate risk. We are currently seeking an Applied AI/Machine Learning Lead for the Risk Modeling team. As an Applied AI/Machine Learning Lead – Vice President within Chase Consumer \& Community Banking Risk Modeling , you will lead the design, development, deployment, and monitoring of AI, machine learning, and statistical models, segmentations, and strategies leveraging big data and distributed computing platforms. Your work will support risk management for the credit card and small business portfolios, helping drive long\-term profitable growth through strong business acumen, disciplined execution, and clear communication to senior stakeholders. You will partner closely with business stakeholders and cross\-functional teams across the full modeling lifecycle—from problem framing and conceptualization through production deployment, monitoring, and ongoing maintenance. You will serve as a hands\-on individual contributor while also mentoring junior team members as needed, helping shape technical direction and establishing modern AI\-enabled ways of working, including responsible use of generative AI in core workflows. Job responsibilities * Design and develop sophisticated AI, machine learning, and statistical models to drive impactful business decisions in consumer and small business credit risk (for example, segmentation, underwriting and decisioning support, and portfolio strategies). * Apply novel approaches and advanced machine learning techniques to solve high\-value problems, balancing predictive performance, stability, interpretability (where needed), and operational constraints. * Leverage big data, distributed computing, and cloud platforms to optimize and accelerate model development processes, enabling scalable feature engineering, training, scoring, and monitoring. * Partner with senior management to define modeling roadmaps, align solutions to business needs, communicate trade\-offs, and drive execution through production delivery. * Collaborate across the full model lifecycle with key stakeholders in marketing, risk, technology, model governance/model risk management, fair lending, compliance, and other control partners through conceptualization and problem framing; development and testing; review/validation support and documentation; deployment and model usage; and ongoing model monitoring and maintenance. * Embed AI and generative AI into core workflows (responsibly) to improve speed and quality of delivery, including accelerating prototyping and experimentation; improving developer productivity (code generation/refactoring with strong review and testing discipline); producing high\-quality model documentation and artifacts (assumptions, limitations, monitoring plans); and synthesizing results into decision\-ready narratives for leadership. * Promote strong governance and controls by ensuring models are well\-documented, reproducible, monitored, and maintained with disciplined change management and clear performance reporting. Preferred Qualifications, Capabilities, And Skills * Experience designing, building, and deploying production\-quality AI and machine learning models end\-to\-end, including model monitoring/drift and sustainable maintenance practices. * Expertise in data wrangling and model building on distributed Spark environments with a focus on stability, scalability, and efficiency; GPU experience is a plus. * Experience supporting governance expectations in regulated environments (model documentation quality, explainability/interpretability as appropriate, monitoring, and change control); experience partnering with Fair Lending stakeholders is a plus. * Strong ownership and execution skills with a track record of delivering models into production and driving adoption. * Ability to collaborate across multiple stakeholders on initiatives of strategic importance; comfort leading through influence. * Exposure to generative AI and large language model patterns (for example, evaluation approaches, retrieval\-augmented workflows, safety/quality guardrails) applied pragmatically to analytics/modeling productivity and/or risk use cases. ABOUT US 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. About The Team Our Consumer \& Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most\-used digital solutions – all while ranking first in customer satisfaction. Work Location: Bengaluru, Karnataka, India Availability: Full time
