Top Machine Learning Jobs in Chennai

The Associate Business Support Specialist role involves implementing space planning, managing employee services, coordinating operations, overseeing asset management, and ensuring safety protocols. The position requires collaboration across functions and effective communication skills.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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

The role involves qualifying new products, designing test cases, assessing automation feasibility, and participating in software deployment and troubleshooting with customers.

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

Lead the design and delivery of enterprise-scale AI solutions, mentoring teams, and defining architecture standards for robust AI systems.

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

Design and develop machine learning models, optimize performance, integrate with applications, monitor models in production, and apply MLOps best practices.

Lead global social media strategy, ensuring efficient campaign execution, reporting, and analytics. Drive automation and cross-functional collaboration while managing a high-performing operations team.

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 role focuses on developing applications using Power Apps and Power Automate, managing requirements, conducting reviews, and ensuring compliance.

The Sr AI Solutions Engineer will update stakeholders on solutions, productize Centific AI offerings, implement NVIDIA models, and develop AI-enabled applications.

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

Design and deploy scalable AI/ML solutions, optimize model performance, and collaborate with teams to translate business challenges into AI solutions.

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.

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

The Manager Data Governance drives AI and Machine Learning solutions, translating insights into business recommendations, ensuring best practices, and collaborating with stakeholders for robust analytics solutions.

The Senior Data Scientist will develop Generative AI models, optimize pipelines, and implement AI solutions in health sciences, leveraging NLP and machine learning expertise.

As a Senior Data Scientist, you will develop and deploy AI models and solutions, focusing on Generative AI and NLP in healthcare applications. Responsibilities include building, testing, and maintaining data science pipelines, mentoring juniors, and collaborating with teams to integrate AI technologies.

The Senior Data Scientist I will develop and deploy Generative AI models, ensuring quality and ethical use, while customizing data processing pipelines for various applications.