Top Machine Learning Jobs in India

The role involves designing machine learning models for content platforms, integrating AI capabilities, enhancing content quality, and collaborating across teams.

The role involves designing, developing, and deploying AI/ML solutions, focusing on large language models, RAG systems, and integrating AI into applications while collaborating with cross-functional teams.

Design and develop scalable software solutions using machine learning, focusing on high-performance applications and data processing pipelines while leading team initiatives.

As an AI/ML Staff Software Engineer at eBay, you'll design and build machine learning models, handle feature engineering, model evaluation, and create robust ML pipelines to enhance fraud detection and marketplace safety.

The Machine Learning Analyst will design and deploy LLM-based solutions, integrate with cloud services, and optimize AI models while collaborating with cross-functional teams.

This role involves developing real-world applications using modern AI models and LLM frameworks, focusing on deployment and implementation of AI features.

Lead design, development, and deployment of ML solutions for embedded systems; architect and optimize deep learning and computer-vision models; mentor engineering team; evaluate new ML techniques; implement testing, validation, and deployment strategies for resource-constrained environments.

The role involves developing and managing AI/ML backend systems, optimizing performance for large-scale products, and collaborating with applied ML teams.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Staff Engineer will design and build backend services for AI/ML solutions, focusing on performance, reliability, and collaboration with ML teams. Responsibilities include implementing retrieval systems, optimizing ML workflows, and ensuring observability.

The MLOps Engineer will design, build, and operate ML workflows on AWS, ensuring model reliability and compliance while collaborating with teams to enhance healthcare outcomes.

The Cybersecurity Consultant leads technical engagements, conducts threat research, collaborates with partners, and drives community outreach in the US market.

The role involves developing generative AI solutions, implementing AI models, collaborating with teams for integration, and ensuring quality through reviews and testing.

The role involves partnering with teams to support customer onboarding, translating requirements into technical specifications, and identifying automation opportunities. It requires strong analytical skills and experience in ITSM platforms, Agile practices, and system integration.

The role involves developing automation tools for SoC technologies, collaborating with multiple engineering teams, and enhancing existing automation systems.

Develop methodology, flows, and tools for SoC and IP development efficiency; work with teams on automation tools using VLSI expertise.

The SDE II in AI/ML at Mindtickle will design, implement, and improve AI/ML components, mentor junior engineers, and contribute to architecture discussions to enhance revenue productivity platforms.

The Sr Machine Learning Scientist at PayPal will lead ML projects, innovate solutions, collaborate with cross-functional teams, and manage ML models for lending products.

The Senior AI/ML Engineer will design, build, and deploy Large Language Models (LLMs), focusing on generative AI in the insurance sector, while collaborating with global teams.

The Senior AI/ML Engineer will design and implement simulation models and optimization solutions for warehouse logistics and network efficiency, focusing on digital twin simulations and resource allocation.

The Staff Software Engineer will lead GenAI solution development, provide technical leadership, mentor engineers, and ensure robust AI systems through innovative design and collaboration.

As a Senior Machine Learning Engineer, you'll design and implement AI/ML automation solutions, collaborate with teams, build MVPs, and maintain data pipelines while fostering innovation and continuous improvement.

The role involves designing and implementing Python applications using AI techniques, working with data technologies, and collaborating with teams in an Agile environment to fulfill research delivery strategy.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.