Top Machine Learning Jobs in Chennai

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

The Product Manager will define and drive AI-powered statistics for life sciences, collaborate across teams, engage with customers, and support market differentiation strategies.

The role involves designing and implementing AI/ML models for edge computing environments, collaborating across teams, and improving software solutions while staying current with technology advancements.

Lead strategy and development of AI/ML engineering solutions, enhancing decision-making and automation across the enterprise. Oversee advanced analytics and mentoring of data science teams.

The Software Engineer will develop AI/ML solutions, design scalable architectures, oversee model deployment, collaborate across teams, and document processes. Requires expertise in machine learning and data science.

As an AI / ML Engineer, develop applications using AI tools and Cloud services, focusing on production-quality solutions with Generative AI models and collaboration across teams.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

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

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

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.

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.

Develop AI/ML solutions, design scalable architectures, ensure production readiness, collaborate with teams, and innovate within the AI/ML domain.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

The AI/ML Intern position is designed for aspirants eager to learn and grow in a remote environment, working on exciting projects.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

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

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

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

The Technical Lead is involved in business transformation and product development, focusing on digital strategy and engineering across various industries.

Design and deliver LLM-powered applications, build retrieval pipelines, and create evaluation frameworks. Collaborate with teams on innovative AI/ML solutions.

As a Machine Learning Engineer, you will build and maintain ML infrastructure, develop credit models and collaborate on data-driven features. The role requires extensive hands-on experience in ML engineering within production environments.