Top Machine Learning Jobs in India

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.

Develop and implement advanced machine learning algorithms, build intelligent software using LLMs, and collaborate with teams to integrate ML solutions.

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

Lead complex machine learning projects and mentor junior scientists, utilizing extensive experience in deep learning and software development.

Design, build, test, and release software components and frameworks while collaborating across teams. Mentoring team members is also a key responsibility.

Design and deploy LLM applications, lead architecture and optimization efforts, collaborate with teams, and make significant impacts at Deel.

Develop and optimize machine learning models, preprocess data, deploy ML solutions, and collaborate with teams to integrate models into products.

Lead DevOps Engineer with expertise in MLOps, focusing on CI/CD, cloud services, and data pipeline management. Oversee design and implementation within a collaborative environment.

Lead machine learning model design and implementation, collaborate with teams, mentor junior engineers, and optimize models for performance in a healthcare setting.

As a Senior Machine Learning Scientist at GoDaddy, you'll develop advanced ML algorithms, enhance models, and collaborate on AI solutions for small businesses.

The Senior AI/ML Engineer focuses on developing digital twin simulations and optimization models to enhance warehouse logistics and operational efficiency.

The Project Manager will oversee the migration of an Enterprise analytics platform to AWS Cloud, manage project teams, and ensure project objectives are met within budget and timeline.

Lead a team of machine learning engineers to develop and implement advanced machine learning algorithms for optimizing ad spend, enhancing Adobe Advertising Cloud offerings.

The Senior Software Engineer will manage cross-functional projects, develop UI components, maintain APIs, and provide technical leadership within a fast-paced AI/ML team.

Join as a Senior Machine Learning Engineer to enhance conversational AI and ML systems, focusing on model deployment and performance optimization.

Lead the development of embedded software for AI hardware platforms, focusing on device driver development, integration, and system-level optimization.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, preprocess data, and optimize ML pipelines. Additionally, you will mentor junior members and contribute to AI/ML strategies.

Lead the architectural vision for scalable ML systems, build end-to-end ML pipelines, and mentor junior engineers while enhancing personalized user experiences.