Top Machine Learning Jobs in India

Create, adapt, and score domain-specific robotics tasks and rubrics in Telugu to evaluate AI systems; review submissions for accuracy, regulatory alignment, and produce gold-standard solutions and expert feedback.

Create and review realistic, domain-specific robotics tasks in Hindi; apply scoring rubrics; evaluate AI and human responses for accuracy, regulatory alignment, and professional quality; and produce gold-standard solutions and expert feedback.

Create and review realistic, locale-specific robotics and natural sciences tasks in Tamil to evaluate AI systems; apply scoring rubrics, review and score submissions for accuracy and regulatory alignment, and produce gold-standard solutions and expert feedback.

Design, develop, operate, and integrate Nike's multi-cloud platform solutions. Lead technical priorities, define engineering best practices, build observability, implement cloud infrastructure using Kubernetes and autoscaling, and collaborate with cross-functional partners to translate business needs into technical solutions.

The Bot & Abuse Analyst will analyze customer traffic, optimize algorithms, build ML pipelines, and collaborate with stakeholders to prevent fraud and abuse.

Lead APAC revenue operations and strategy for InMobi's ads portfolio. Build regional GTM strategy, performance frameworks, and operating cadence (WBR/MBR/QBR). Drive cross-functional alignment with Sales, Product, Marketing, and Partnerships, and lead initiatives on market expansion, pricing, segmentation, and monetization.

Own the product lifecycle for enterprise AI-enabled solutions: define strategy and roadmap, lead discovery, define requirements and KPIs, prioritize backlog, coordinate engineering/data/design/delivery, ensure secure and responsible AI deployments, and measure adoption and business impact.

Lead development and execution of a global internal audit analytics capability. Embed analytics into audit planning and execution, manage audit data and tooling, partner with stakeholders to prioritize initiatives, build and coach an analytics team, and ensure controls, governance, and performance measurement across financial, operational, compliance, and IT audits.

Provide operational analytics and reporting to support the Ops team. Build and maintain dashboards, ensure data integrity, perform deep-dive analyses on logistics and efficiency, and support planning and real-time analytics for new and active projects.

Design and build cloud-based AI/ML solutions (including LLMs) to enhance enterprise workflows. Collaborate with product, developers, and QA to own design, implementation, testing, profiling, and delivery of efficient, modular Java/Python software using core ML techniques.

Independently review and analyze trade surveillance reports across asset classes, investigate and resolve alerts with stakeholders, document findings, support tuning and calibration of surveillance models, assist control design and deployment, prepare management reporting, support regulatory inquiries and audits, and collaborate with IT/vendors on tool development and testing.

Senior Data Scientist role focused on developing, automating, and deploying advanced statistical and machine learning models for retail analytics to optimize performance and operationalize model workflows.

Lead the design and development of AI platforms, mentor a team of AI engineers, and ensure alignment with enterprise goals, while enhancing healthcare provider systems.

Build, deploy, and operate scalable ML/AI pipelines and services (training, inference, observability) for internal applications including chatbots and agents. Partner with data scientists, engineers, and product teams to design systems, improve MLOps, shorten model deployment cycles, and leverage Cloudflare infrastructure and modern AI tooling.

Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.

Lead and manage applications development teams to design, build, and deliver Java/Spring-based microservices. Provide technical oversight, architecture, resource and budget management, ensure compliance and risk controls, and drive adoption of best practices across SDLC.

Lead design and execution of AI-driven test automation using Playwright and JavaScript/TypeScript. Integrate LLMs and AI models, perform prompt engineering, apply testing methodologies, manage AI testing projects, and communicate strategies to stakeholders. Support manual testing when needed and continuously adopt new AI technologies to solve complex testing challenges.

Lead initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

Lead a cloud infrastructure engineering team to design, build, operate, and govern Nike's multi-cloud platform. Split time between hands-on architecture, development, and automation, and leadership duties including technical strategy, best practices, cross-functional collaboration, mentoring, and translating business needs into cloud solutions.

Lead a cloud infrastructure engineering team building and operating Nike's multi-cloud platform. Split time between hands-on design, development, and operations of cloud solutions and leadership duties: setting technical priorities, defining best practices, coaching engineers, and partnering with cross-functional teams to deliver scalable, secure cloud architectures.

The Senior Manager, Machine Learning leads the Conversation Memory team, focusing on developing foundational AI features, ensuring operational excellence, mentoring engineers, and managing project timelines for ML solutions.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

Lead product strategy for ad monetization across programmatic and deal-based channels. Drive roadmap, partner with engineering, DSPs/SSPs, and data science to optimize yield, build AI-driven automation, run A/B tests, and improve auction efficiency and publisher revenue while safeguarding ad quality.