Top Machine Learning Jobs in India

Develop predictive and machine-learning models that quantify product, service, and customer value for Mastercard’s pricing and commercialization strategies. Build value-based B2B pricing models, forecasts, business cases, elasticity analyses, and revenue scenarios. Analyze complex datasets using Python and SQL, translate findings into commercial insights, and influence product, pricing, data science, and senior stakeholder decisions.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and interfaces using human-centered design, Lean UX, and Design Thinking. Leads workshops, develops personas and user journeys, creates visual and interaction designs across web, mobile, and IoT, and collaborates with product, technology, marketing, and regional teams. Conducts iterative user testing, contributes to design systems, and shapes AI- and ML-enabled experiences while balancing usability, business goals, regulatory compliance, and global user needs.

Leads complex AI/ML, advanced analytics, decision science, personalization, experimentation, and GenAI initiatives for commercial pharmaceutical priorities. Develops and validates models, integrates healthcare and commercial datasets, creates decisioning frameworks, evaluates LLM solutions, and operationalizes analytical outputs. Provides technical guidance, model reviews, documentation standards, reusable methodologies, and mentorship across the analytics center of excellence.

Leads end-to-end delivery of AI and machine learning products, including agentic AI, LLM applications, production ML services, guardrails, evaluation frameworks, observability, and model risk controls. Partners with business stakeholders to identify use cases, ensures regulatory and privacy considerations, sets engineering standards, mentors engineers, and contributes to AI governance and education.

Lead the technical vision and production delivery of graph-enabled AI and data science capabilities for private-markets intelligence. Architect multi-agent LLM workflows, knowledge graphs, graph retrieval, predictive models, and evaluation systems. Partner with researchers, product, engineering, risk, and compliance teams to convert ambiguous needs into governed enterprise products. Own reliability, security, cost, and quality while mentoring AI and data science talent and advancing responsible AI practices.

Own analytics for Words With Friends Instant, providing insights on player behavior, product performance, experimentation, revenue, retention, and engagement. Design statistical experiments, dashboards, telemetry, and ETL pipelines; analyze trends and feature health; maintain data tools and models; and communicate recommendations to product, engineering, design, and executive stakeholders. The role also supports AI initiatives and optimization of the player experience.

Leads associate relations by investigating and resolving employment issues, complaints, conflicts, and policy concerns. Provides coaching and guidance to managers and associates, partners with Legal and other departments on compliance, analyzes case trends, recommends action plans, and improves associate experience processes. The role also develops HR capabilities, leads a team of consultants, escalates complex investigations, and supports cross-functional projects.

Leads operational excellence and continuous improvement across the organization by driving Six Sigma culture, overseeing practitioners and project managers, tracking process-improvement goals, launching strategic initiatives, and partnering with senior leaders. The role requires extensive Six Sigma and change-management experience, leadership of teams, stakeholder management, communication skills, and exposure to emerging technologies such as automation, machine learning, NLP, and AI.

Design, develop, test, and maintain full-stack software using Java, Spring Boot, REST APIs, React, and JavaScript. Build scalable applications with cloud platforms, GitHub, Jenkins CI/CD, and Docker. Collaborate cross-functionally to deliver software projects, apply ATDD testing, and support continuous improvement. Develop AI-powered solutions using no-code, low-code, and advanced platforms, including proofs of concept involving AI and machine learning.

Leads clinical data science strategy and advanced analytics across clinical studies and development assets. Translates clinical, biomarker, real-world, and external data into decision-ready insights using statistical methods, machine learning, simulation, and visualization. Defines analytics-ready data requirements, ensures CDISC and regulatory compliance, oversees internal and external delivery partners, mitigates data and delivery risks, and advances reproducible, automated, AI-enabled workflows. Mentors colleagues and influences cross-functional clinical development decisions.

Manages pre- and post-trade lifecycle operations, cash and securities reconciliations, onboarding, market and product expansions, and transformation initiatives across asset classes. Coordinates Operations, Technology, Data Analytics, Risk, Compliance, and business stakeholders; tracks commitments, leads governance forums, reports to senior management, manages project milestones, and drives automation, standardization, and operational improvements.

Develop and maintain scalable software across the full SDLC, including design, coding, testing, deployment, monitoring, and maintenance. Lead architectural decisions, improve system quality and performance, address customer issues, and own highly available services. Mentor engineers, contribute to Agile planning and technical breakdowns, document system behavior, and develop backend services using cloud platforms, messaging systems, machine learning, and relational or NoSQL databases.

Leads service improvement and automation initiatives for Ericsson’s managed services delivery in India. Responsibilities include governing processes, auditing KPIs, identifying and implementing automation opportunities, developing business cases, managing automation and support engineering teams, integrating customer solutions, driving innovation and cost savings, and building team capabilities. The role requires strong leadership, telecommunications experience, and expertise in automation, analytics, machine learning, and artificial intelligence.

Performs risk assessments, control testing, regulatory reporting quality reviews, remediation tracking, root-cause analysis, and process improvements for payments operations. Monitors reporting accuracy, completeness, timeliness, and control adherence while synthesizing leadership insights. Leads change initiatives and uses AI and machine learning for anomaly detection, data validation, and workflow analysis. Partners with global teams to strengthen regulatory compliance and reporting standards.

Leads enterprise data quality strategy, architecture, platforms, frameworks, observability, governance, and automation. Designs reusable quality capabilities for batch, streaming, cloud, on-premises, and SaaS environments; establishes rules, metrics, alerts, and remediation workflows; integrates quality with metadata, lineage, catalogs, MDM, and data contracts; mentors engineering teams; evaluates tools; and applies AI and machine learning to anomaly detection, root-cause analysis, and trusted AI-ready data platforms.

Senior Product Manager responsible for defining and delivering shared services for SailPoint’s enterprise identity security platform. The role partners with Product, Design, Engineering, and stakeholders to guide SaaS and cloud capabilities from discovery through launch, prioritize roadmaps, define requirements, track adoption metrics, and shape long-term platform strategy. The position is hybrid in Pune and requires approximately 15% travel.

Senior Manager Clinical Data Scientist supporting pharmaceutical clinical development through clinical trial data analysis, statistical modeling, visualization, data review, and decision-support insights. The role develops analysis-ready datasets and reproducible workflows, applies statistical and machine learning methods, ensures regulatory traceability and data quality, collaborates with cross-functional study teams, and contributes to automation, standards, technical documentation, and mentoring.

Develop and deploy GenAI, agentic, machine learning, and analytics systems for ASIC semiconductor engineering workflows. Build LLM workflows using prompting, RAG, Graph-RAG, evaluation, and benchmarking; develop models for classification, anomaly detection, failure analysis, and decision support; and operationalize solutions in cloud and enterprise environments. Collaborate with engineering and technical teams, communicate findings, and lead initiatives that improve engineering productivity.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Leads a team of full-stack engineers while setting technical strategy, architecture, and roadmaps for enterprise portfolio design platforms. Drives delivery of scalable Python and Angular or React applications, engineering best practices, operational resilience, and Agile execution. Leads adoption of applied and generative AI, including intelligent workflows, automation, responsible AI governance, and AI-assisted development. Partners with business and technology stakeholders, mentors technical leaders, and delivers innovative solutions that improve advisor engagement, productivity, and client experiences.

Leads the design, development, and maintenance of scalable .NET and cloud-based microservices across Azure and AWS. Provides technical leadership through architecture, code and design reviews, mentoring, performance optimization, troubleshooting, and cloud cost analysis. Establishes CI/CD, automated testing, infrastructure-as-code, and deployment practices while ensuring scalability, availability, and non-functional requirements. Collaborates across teams to define solutions, estimate work, integrate systems, and evaluate emerging AI, machine learning, and cloud technologies.

Leads development of secure, scalable software services and applications using Java, Spring, Kafka, APIs, and distributed-system patterns. Owns complex cross-service problems, architecture, prioritization, automation, integration, troubleshooting, incident analysis, and operational excellence. Mentors engineers, guides technical decisions, promotes secure coding and quality practices, partners with product teams, supports agile delivery, and conducts technical interviews.

Monitor inline defectivity, analyze process and defect data, investigate anomalies, and drive corrective actions and continuous improvement in semiconductor manufacturing. The role uses inspection and metrology tools, supports experimentation and baseline health monitoring, collaborates with global manufacturing and yield teams, and helps transfer technologies into production while improving process quality and yield.

Leads cloud security engineering within Cloud Foundational Services, designing enterprise security solutions, clarifying security requirements, conducting threat and risk assessments, and managing disruptive events. Advises senior stakeholders during vulnerabilities and drives secure adoption of AI-assisted engineering tools, including validation standards, secure coding, automated testing, incident analysis, and responsible AI practices.

Leads product strategy, vision, roadmaps, backlog prioritization, governance, and stakeholder alignment for R&D digital and AI initiatives in China. Translates pharmaceutical R&D needs into localized product capabilities while balancing global platform reuse, regulatory requirements, privacy, security, quality, and compliance. Partners with technical and business teams to deliver sustainable customer experiences, manage product portfolios, and support clinical trial and regulated application processes.