Top Machine Learning Jobs in Chennai

Lead the development of ML infrastructure, enhancing ML capabilities, mentoring junior engineers, and collaborating with diverse teams to deliver advanced FinTech solutions while ensuring high quality and adherence to best practices.

The Senior Machine Learning Engineer will lead the development and deployment of ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with data scientists to create high-quality ML solutions. The role involves project management and engagement with stakeholders to ensure successful delivery of initiatives.

As a Software Engineer III, you will design and deliver technology products, executing solutions and troubleshooting software challenges. You will create secure production code, analyze data for insights, and contribute to team culture while driving improvements.

The Senior Software Engineer will collaborate with Agile teams to design, develop, test, and deploy products and services, focusing on AI and ML technologies. Responsibilities include mentoring team members, investigating complex issues, and staying updated with industry developments. They will work independently and participate in code reviews, ensuring best practices and high-quality service delivery.

As a Principal Software Engineer at Boomi, you will collaborate in an Agile team to design, develop, and deploy Boomi products and services. You will mentor team members, resolve complex customer issues, and recommend technologies to enhance the platform. Additionally, you will conduct code reviews, ensure best practices, and keep up with new developments in AI/ML.

As a backend software engineer, you will collaborate with an Agile team to design, develop, and deploy products focusing on AI and ML. You will ensure code quality through reviews, investigate complex customer issues, and continuously learn about new technologies while contributing to the development lifecycle.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions to solve complex business problems, manage data sets, and collaborate with stakeholders to ensure solutions meet business needs while maintaining high-quality standards.

As a Senior Pre-Sales Solutions Architect, you will partner with sales and customer success teams to align Udacity's offerings with business outcomes for Global 2000+ clients. You will leverage technical expertise in AI, ML, data science, and cloud computing to address client needs, articulating value propositions and supporting revenue growth through technical and functional initiatives.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.

As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.

The SW Systems Engineer will innovate and define user experience for AI-driven network management, leading the software development lifecycle to create data mining, machine learning, and networking solutions. Responsibilities include driving strategic innovation, conducting design and code reviews, and deploying high-performance systems.

The Lead AI/ML Engineer will design AI/ML strategies and standards, mentor team members, and engage in development processes including model deployment in AWS services. Responsibilities include risk management, code reviews, and development of reusable libraries.

The Senior AI Engineer will develop and maintain scalable AI pipelines, deploy models in production, monitor and optimize AI systems, and implement version control in a fast-paced data science environment.

The Architect will collaborate with AI professionals to implement digital transformation initiatives, design AI architecture, select technologies, ensure compliance with regulations, lead audits, mentor engineers, and enhance operational efficiency using AI/ML.

The Manager of Software Development will lead a team in enhancing wafer inspection products using advanced technology and software practices. Responsibilities include driving technical decisions, improving software for high-volume production, and leveraging machine learning to enhance performance.

The Data Engineer 2 is responsible for designing and maintaining data architecture, developing frameworks for data ingestion and quality control, and ensuring data integrity across various platforms. They collaborate with data analysts to align data structures with business needs while leveraging technologies for structured and unstructured data management, both on-premises and in the cloud.

The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.