Top Machine Learning Jobs in Chennai

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

WorldQuant seeks a Quantitative Researcher to develop predictive models for financial markets, emphasizing creativity and a strong quantitative background.

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

The Customer Success Business Partner at Lyric drives customer adoption and retention for strategic accounts, leveraging expertise in AI and supply chain operations.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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.

Lead a team of ML engineers and data scientists, overseeing the design and deployment of machine learning models for life sciences applications while ensuring GxP compliance and technical governance.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

The AI Solutions Engineer role involves deploying AI tools, optimizing AI agents, improving workflows with AI, integrating systems, and training users on AI solutions.

The Senior Data Analyst will leverage data to inform strategic decisions, analyze complex datasets, develop predictive models, and communicate insights to stakeholders.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

The Senior QA Engineer will develop and maintain automation frameworks using Java, Selenium, and REST Assured, focusing on AI integration and data validation for effective testing.

Design and implement SAP IBP demand planning solutions, enhance forecasting accuracy using AI and statistical models, and integrate data flows for effective supply chain planning.

Lead AI transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.