Top Machine Learning Jobs in Chennai

As a Lead Machine Learning Engineer, you will develop advanced analytics and maintain ML infrastructure, collaborating with cross-functional teams to deliver secure SaaS products.

As a Machine Learning Engineer, you'll develop and implement advanced analytics, maintain ML infrastructure, and work with cross-functional teams to generate actionable insights.

The Software Test Automation Engineer is responsible for qualifying products and features through various testing methodologies, scripting test cases, and collaborating with cross-functional teams. The role involves participating in software development stages and providing on-site support at customer facilities, focusing on automation and testing of semiconductor technologies.

The Software Test Automation Engineer will plan, manage, execute, and report on qualification activities for KLA’s software products. Responsibilities include developing test cases for products using Deep Learning, automating test cases, and ensuring software quality through all stages of development, including deployment at customer sites. The role requires collaboration with various teams to address quality issues and improve the qualification process.

Lead engineering teams in delivering scalable software solutions while setting technical vision and guiding product development and collaboration.

Join ASAPP's Data Curation team to enhance AI solutions by developing expertise in data annotation, partnering with various teams, and optimizing functions.

The AI & Machine Learning Engineer will develop and maintain machine learning models, focusing on computer vision and NLP to enhance live selling platforms. Responsibilities include model training, deploying solutions, and collaborating with cross-functional teams.

The Senior AI Solutions Engineer will design and implement advanced AI-based solutions, enhance IT operations with automation and integrations, and collaborate with clients to meet their needs. Responsibilities include developing scalable AI system workflows, improving system performance, and contributing to product demos. A strong technical background in AI, automation technologies, and integration projects is essential.

As a Senior Machine Learning Systems Engineer at Atlassian, you will build and scale AI and ML infrastructure, enabling software engineers and data scientists to develop, deploy, and operate machine learning models. You will mentor junior members, drive technical projects, and collaborate with cross-functional teams to enhance the user experience with AI capabilities.

The Principal AI Researcher will lead the design and development of advanced Generative AI technologies, mentoring junior members, collaborating across teams, and contributing to high-level technical strategies while remaining abreast of industry advancements.

As a Software Engineer specializing in Machine Learning, you will design, develop, and deploy improvements to a work assistant product, emphasizing AI-driven capabilities. You will write scalable code, mentor junior developers, and stay updated with AI trends, contributing to both product and team growth.

As a Senior Staff Machine Learning Engineer at Coinbase, you will leverage advanced machine learning techniques to solve complex problems, improve user experiences, and enhance product security. Responsibilities include developing scalable ML solutions and building infrastructure for machine learning utilization across the company.

The D365 Sr BI Developer & Data Engineer will design and implement reporting solutions within the D365 environment, leveraging Power BI and Azure SQL. Responsibilities include developing reporting strategies and collaborating with cross-functional teams to meet business needs in data analytics and decision-making.

As an Application Lead, you will oversee the design, build, and configuration of applications, acting as the main contact. You'll manage a team, collaborate with various teams, and ensure successful project delivery through effective solutions.

The Senior MLOps Engineer will design, develop, and implement machine learning models, perform data analysis, and collaborate with stakeholders to deliver actionable insights while mentoring junior team members.

As an Application Developer, you will be responsible for designing, building, and configuring applications tailored to meet business requirements. You will engage with cross-functional teams, contribute to key decisions, and provide solutions to various challenges in a collaborative environment.

As a Machine Learning Engineer at Lytx, you will develop and deploy machine learning and computer vision algorithms to enhance driver safety. You will handle the complete DL/ML model development cycle, optimize models for cloud/Edge deployment, and improve accuracy and performance under minimal supervision, collaborating with developers as needed.