Top Machine Learning Jobs in India

The Senior Talent Development Partner will lead talent systems across InMobi, focusing on performance management, leadership development, and career architecture to foster growth and drive impactful talent experiences.

Develop applications using AI and ML techniques, focusing on generative AI models, deep learning, and cloud-based solutions while collaborating with cross-functional teams.

Develop AI applications using Machine Learning and Generative AI. Collaborate across teams, conduct research, optimize models, and ensure data quality.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.

The Senior Engineer I - Design will handle RTL design and verification for SoC architecture, ensuring quality designs from concept to tape-out, and leveraging AI tools for productivity and debugging.

Responsible for developing scalable applications for Big Data solutions, leading complex projects, mentoring engineers, and ensuring high-quality delivery of services.

The Lead Data Engineer will manage a team, develop data pipelines, interpret project requirements, and advocate for data architecture solutions, while fostering team growth and collaboration.

The Data Scientist will analyze large datasets, develop models, and visualize data. Responsibilities include data cleaning, building scalable solutions, and communicating insights to stakeholders.

Manage and develop a software engineering team, ensuring adherence to architecture, driving technology strategies, and advocating for agile practices while overseeing project delivery and talent development.

The Staff AI Scientist will conduct advanced AI research, design production-grade systems, mentor staff, and translate AI innovations into business solutions.

This role involves conducting advanced AI research, designing intelligent systems, and developing solutions while ensuring responsible AI practices. The candidate will lead experimentation, implement AI models, and translate AI capabilities into business impact while mentoring junior professionals.

The AI/ML Architect will define and deliver the AI vision by leading ML and GenAI strategy, shaping architectures, and ensuring business alignment. Responsibilities include driving frameworks, overseeing production-grade systems, establishing governance, and mentoring teams to enhance AI capabilities and value realization.

Lead the ML function for InMobi by architecting and building production machine learning systems, optimizing marketing spend, and driving performance in ad-tech.

The Lead - Learning & Organizational Development will design impactful learning experiences, enhance the new joiner experience, and develop content while collaborating with leaders and conducting organizational diagnostics at InMobi.

The role focuses on evaluating Generative AI solutions, ensuring quality standards, mentoring team members, and improving data models in an academic research setting.

The role involves managing AI product delivery, defining product roadmaps, analyzing user data, and bridging user needs with technical solutions in an enterprise SaaS context.

Lead development and innovation of managed switching solutions targeting SMEs, focusing on product features, cost-performance, technical architecture, and market-driven solutions.

The Engineering Manager leads the NIRA team, executing the engineering roadmap and improving engineering practices while managing a high-performing team.

The GIS Analyst - GeoAI leads Remote Sensing and GeoAI projects, conducting image analysis and developing ML models for geospatial data, ensuring technical excellence.

Lead the design and development of AI/ML models, analyze complex datasets, implement validation strategies, and mentor junior team members to enhance model performance.

The Sr ML Engineer will architect and oversee advanced machine learning model development, MLOps infrastructure, and lead cross-functional projects. Responsibilities include designing scalable ML pipelines, enhancing model performance, and collaborating with product teams.

Lead a diverse team focused on integrating Generative AI technology into applications, driving strategic decisions for transformative business outcomes, and developing real-time AI-powered insights.

The Google DialogFlow Engineer will design, develop, and deploy chatbots using Google Cloud technologies, focusing on Dialogflow CX and AI capabilities, while integrating with backend systems and optimizing chatbot performance.

Lead the development of AI and machine learning solutions to improve healthcare. Responsible for designing scalable software systems, building APIs, and ensuring ethical practices in AI applications.

As a Software Engineer III, you will drive innovation in InsurTech, lead architectural discussions, and develop scalable cloud-native solutions using modern technologies.