Top Machine Learning Jobs in Chennai

The Staff Software Engineer will lead software design and development, focusing on AI integration, full-stack applications, and stakeholder collaboration to deliver complex projects across multiple teams.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

As a Custom Software Engineer, you will design, build, and configure applications, collaborate with teams, and ensure alignment with business objectives while providing innovative solutions.

The Staff Product Manager will lead product backlog for a Scrum team, collaborating closely with engineering and AI teams while driving customer outcomes and improvements through analytics and integration solutions.

Lead the design and delivery of enterprise AI solutions, overseeing architecture, mentoring teams, and ensuring compliance with standards and best practices.

The Supply Chain Analyst ensures production continuity by providing insights into supply chain risks, validating supplier data, and developing mitigation strategies while managing data workstreams and collaborating across functions.

The Data Scientist will develop scalable AI/ML solutions to solve complex business problems, build analytical products, and collaborate across teams to drive data-driven decisions.

Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.

As an AI/ML Engineer, you'll design and develop intelligent workflows, enhance productivity with AI agents, and oversee the software development lifecycle while collaborating with engineers and providing guidance to junior staff.

The Engineer - ECM will manage Engineering Change Orders, collaborate with teams for product updates, create and track BOM in various systems, ensure process adherence, mentor colleagues, and implement continuous improvement strategies.

The role involves leading AI development for financial planning, integrating AI frameworks, collaborating cross-functionally, and providing mentorship to junior engineers.

Design and implement scalable AI/ML architectures using Databricks. Collaborate with teams to drive AI transformation, define use cases, and establish best practices.

As a Supply Chain Analyst, you will ensure production continuity through supply chain visibility, data analysis, and risk modeling, enabling strategic decisions.

Manage cross-team delivery in an AI-native engineering organization, focusing on risk management, dependency resolution, and technical communication.

Lead the design and delivery of AI/GenAI solutions, mentor teams, define architecture standards, and integrate various technologies for performance and scalability.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

Contributes to the development and deployment of machine learning algorithms, analyzes solutions, and collaborates with senior researchers to solve problems.

The Research Scientist will analyze data, develop and operationalize ML solutions, support proof of concepts, and communicate results effectively.

Lead the ethical use and governance of AI, ensuring compliance with legal standards, managing AI risks, and fostering collaboration across teams.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.

Manage and develop a team of product designers, set goals, optimise processes, advocate for design resources, and contribute to design strategy.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Lead AI Engineer designs and scales AI-driven platforms for case management and customer service, collaborating with stakeholders to develop machine learning solutions and automate workflows.