Top Machine Learning Jobs in India

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

Design, deliver, and maintain features in data pipelines and ML processing. Optimize software performance and lead machine learning teams. Drive integration and A/B testing.

Develop and optimize pipelines for LLMs and machine learning models, implement evaluation frameworks, and collaborate on scalable AI systems.

As an AI ML Data Engineer, you will develop RAG pipelines, fine-tune LLM applications, and collaborate on machine learning models and frameworks.

The Senior Manager AI ML will define the strategic AI/ML roadmap, lead end-to-end system integration, and mentor teams to create innovative adaptive systems.

The Machine Learning Engineer will work on advanced machine learning projects, focusing on developing and implementing algorithms. Responsibilities include analyzing large datasets and optimizing model performance.

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

The AI/ML Engineer will develop generative AI models, deploy ML models, write scalable code, and work with various AI technologies and frameworks.

The Software QA Engineer will develop test automation for d-Matrix components, enhance test infrastructure, and work on ML model testing.

Lead a team of machine learning engineers to develop and optimize ML algorithms, collaborating across departments to enhance Adobe's products and services.

As a Senior ML Training Engineer, you will architect and implement distributed training solutions, optimize multi-GPU setups, and support customer training workflows in AI infrastructure.

The intern will learn and implement ML inference optimization techniques, contribute to GPU optimization projects, and document findings while working within a team to improve AI infrastructure.

Intern will learn and implement distributed training architectures, develop optimization tools, create documentation, assist in workshops, and experiment with new ML techniques.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

The Senior Machine Learning Engineer will design, develop, and deploy ML and Generative AI solutions, ensuring high performance and reliability, while leading collaboration efforts with cross-functional teams.

Responsible for designing, developing, and deploying AI/ML models, collaborating with teams to integrate solutions and enhance product capabilities.

Develop and optimize ML models for supply chain efficiency, automate decisions, integrate pipelines using Keboola or GCP, and collaborate with teams.

As a Machine Learning Engineer II, collaborate with ML scientists to deploy models, build infrastructure, automate workflows, and define scaling vision for ML applications.

The role involves designing high-performance AI/ML-integrated software solutions, leading architecture discussions, and optimizing microservices with a focus on semiconductor test systems.

Collaborate with Data Scientists and Engineers to develop and implement machine learning pipelines, integrate ML into products, and follow engineering best practices.

Design, develop, and implement machine learning models, collaborate with teams to enhance services, ensure data quality, and deploy solutions.

As a Senior/Lead Machine Learning Engineer, you'll design and maintain AI systems, lead AI initiatives, mentor peers, and develop intelligent solutions for sustainable products at Ramboll.

The role involves designing and deploying AI-driven workflows, overseeing ML projects, and providing technical leadership within engineering teams.

The role involves developing, implementing, and maintaining AI/ML solutions, collaborating with team members, and optimizing algorithms for performance.

As a Senior Machine Learning Engineer, you will implement and scale machine learning algorithms, develop APIs, and collaborate on AI solutions for customer experiences.