Top Machine Learning Jobs in India

Lead AI strategy and program management across business units, co-lead enterprise innovation forums from ideation to implementation, drive process reimagination using AI, ensure execution readiness for AI-first initiatives, and collaborate with operations, data, AI and technology stakeholders to scale AI solutions and measure impact.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

The AI/ML Engineer/Architect will lead prototyping and productization of AI/ML technologies, develop governance frameworks, and collaborate across functions to align with strategic goals.

Build end-to-end internal audit applications and dashboards to automate control testing and continuous risk monitoring. Integrate data pipelines, LLMs/ML, and cloud-native microservices to deliver near real-time risk insights and partner with auditors and data engineers on telemetry and deployments.

The role involves designing and developing AI/ML solutions, building predictive models, ensuring model governance, and collaborating with stakeholders to create impactful analytics solutions.

Lead the development of generative AI systems, overseeing multi-agent AI architectures, machine learning pipelines, and implementing responsible AI practices. Drive innovation in AI applications using various frameworks and databases while managing cross-functional teams.

The role involves designing and implementing machine learning systems, mentoring engineers, leading technical strategies, and ensuring system reliability and scalability.

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms. Lead end-to-end ML/DL initiatives including LLM-based conversational AI, RAG and agent systems. Perform data preprocessing, feature engineering, model evaluation, and production deployment while collaborating across cross-functional teams.

Lead design and delivery of scalable, production-grade full stack solutions with AI/ML integration. Guide technical architecture, mentor engineers, manage stakeholders, and own end-to-end development, deployment, and continuous improvement of enterprise healthcare products.

Lead emergency incident management and service recovery, staff and coach emergency teams, analyze events to identify root causes, improve processes and documentation, ensure secure remote access, and promote knowledge sharing and preventive measures.

Develop, test, and maintain software applications; collaborate with senior developers; troubleshoot and debug; participate in code reviews and documentation; assist with machine learning model development; analyze large datasets and build dashboards; ensure network security and respond to security incidents; work with cross-functional teams to deliver data-driven solutions.

Design, build, and maintain core backend infrastructure and microservices powering Moveworks' Agentic AI platform. Improve performance, scalability, observability, and deliver interdependent, deadline-sensitive features end-to-end. Own infrastructure roadmap and systems such as distributed config, rate limiting, feature flags, A/B testing, and traffic capture/replay.

Lead end-to-end data science projects: data ingestion, feature engineering, modeling (ML/DL/GenAI), deployment, performance tracking, analysis on large healthcare datasets, and communicate results to business partners.

The Senior Software Engineer will develop AI agents, design data architectures, and ensure compliance with healthcare regulations while collaborating across teams.

The AI Engineer designs AI solutions for data management and governance, employing machine learning to enhance data quality and compliance.

Lead end-to-end delivery of enterprise AI/ML and Generative AI solutions, define architectures using LLMs and vector databases, establish MLOps and governance, mentor global teams, and drive adoption, compliance, and performance monitoring of production models.

Lead a Core Platform engineering team to design and build scalable, reliable backend and API systems that leverage the company I/ML platform; implement frameworks for rapid feature development, participate in design/code reviews, diagnose production issues, and enable continuous delivery.

Drive strategy, roadmap, and execution for API contract testing products. Partner with engineering, design, marketing, and developer communities to define specs, prioritize backlog, and deliver AI-forward features. Engage customers and open-source communities to translate needs into technical requirements and scalable product solutions.

The Manager of Product Management will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

Lead design, development, deployment, and maintenance of AI/ML solutions (LLMs, Generative AI, predictive models) for healthcare. Build chatbots and NLP systems, ensure responsible AI and regulatory compliance, integrate AI with cloud platforms, provide technical leadership and mentoring, and drive operational excellence and production readiness.

Lead product definition and lifecycle for Knowledge Center capabilities: write use cases and functional requirements, prioritize roadmaps and budgets, collaborate with engineering, QA, technical writers and stakeholders, and work in Agile sprints to deliver SaaS/platform features that improve customer experience.

Lead a team to develop and apply next-generation defect detection equipment and processes, accelerate technology transfer, mentor staff, analyze experiments and defects, build detection techniques, manage cross-functional projects, define program health metrics, and collaborate globally to improve process yield. Data analysis, ML, and statistical modeling expertise is an advantage.

Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.

Lead design, security, and integration of the o9 Enterprise Operations Planning platform across global regions. Own end-to-end architecture, govern integrations with SAP and non‑SAP systems, define security standards, evaluate hosting options, optimize platform performance with DevOps teams, produce architecture documentation, and partner with business and regional teams to translate requirements and mitigate technical risks for wave rollouts.

Analyze large player datasets to identify opportunities that improve player experience and core game metrics. Deliver analytics and data science projects, maintain source-of-truth data and dashboards, enable evidence-based decisions for game studios, and design/test/implement machine learning models and product features impacting millions of users.