Top Machine Learning Jobs in Chennai

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.

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.

The AI ML Engineer will lead research in LLMs and generative AI, design scalable pipelines, develop AI solutions, and ensure ethical AI practices while collaborating with cross-functional teams.

Lead research and development in AI/ML, design scalable pipelines, implement models, and collaborate with cross-functional teams for optimal solutions.

Design and implement AI systems for medical content search, optimize performance, collaborate with teams, and ensure ethical AI practices.

Lead the design and implementation of AI systems, analyze clinical data, and mentor engineers while ensuring high-quality code delivery.

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

The role involves qualifying products, scripting automated tests, interacting with cross-functional teams, and assessing automation feasibility while using AI tools. Travel to customer sites is also required.

The AI/ML Engineering Manager will lead AI solutions development, managing teams to enhance business processes and customer experience through AI. Responsibilities include collaborating with business leaders, overseeing product roadmaps, ensuring data readiness, and tracking performance metrics.

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

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

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

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.

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.

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.

The ML Engineer will develop and maintain software solutions for Machine Learning projects, focusing on code scalability, model deployment, and documentation, while collaborating with cross-functional teams.

The engineer will design and deploy intelligent chatbots and voice bots using Google Cloud technologies, focusing on Dialogflow CX and machine learning capabilities. Responsibilities include developing backend systems, ensuring performance, and troubleshooting issues.

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

The Principal Architect leads the technical architecture for enterprise programs, ensuring scalable solutions and driving technology best practices while collaborating with leadership on innovative strategies.

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

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

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

Lead complex engineering initiatives in Credit Risk Technology, overseeing software development and driving innovation using AI and Machine Learning.

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.