Top Machine Learning Jobs in India

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

NVIDIA is seeking a Developer Relations Manager focused on GPU Accelerated Computing solutions, specializing in Gen AI and LLMs, to enhance partnerships and drive product adoption.

As a Data Scientist, you will develop security analytics products by analyzing data, deploying ML models, and collaborating with cross-functional teams to drive product innovation.

Lead the development of a new technology team, oversee software solutions for supply chain, and collaborate with data professionals and vendors.

The Applied AI ML Associate Senior develops and maintains data pipelines, deploys LLM models, and collaborates with teams to meet business needs in financial services.

Drive deployment and maintenance of machine learning models, collaborate on advanced machine learning products, and manage complex projects with business stakeholders.

The Client Partner will lead analytics delivery services for BFSI clients, grow revenues, manage client relationships, and innovate solutions with a focus on profitability and client satisfaction.

The Product Manager will drive the vision for reconciliation products, manage delivery with engineering teams, and define metrics for success. Responsibilities include roadmap development, risk management, and stakeholder engagement in the finance domain.

Develop and debug products, analyze requirements, design solutions, conduct test automation, and ensure quality through established processes.

The AI Software Engineer will develop, fine-tune, and deploy NLP models, focusing on generative AI and prompt engineering while collaborating with teams to enhance customer experiences.

Lead the design and development of scalable software systems, implement best practices, and manage a team to ensure coding quality and alignment with business goals.

The Engineering Manager will oversee software development projects, drive teamwork, manage stakeholder communication, and mentor the team while utilizing Java and Agile methodologies.

Design, build, and configure applications to meet business requirements, ensuring solutions are developed according to standards and collaborating across teams.

As a Business Process Architect, you'll analyze, design, and document new business processes, defining product requirements, and collaborating with stakeholders.

The Application Developer designs, builds, and configures applications to meet business requirements while collaborating with multiple teams and providing solutions to complex problems.

The candidate will support automotive AI systems by collaborating with global teams, optimizing AI solutions, conducting benchmarks, and training teams on innovative AI solutions.

The role involves working in Dev Infrastructure at Atlassian, where you'll contribute to team collaboration and software solutions.