Top Machine Learning Jobs in India

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 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.

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.

As a Machine Learning Engineer Intern, you will assist in developing computer vision algorithms for item authentication and fingerprinting, collaborating on model deployment, and contributing to code quality and documentation.

As a Data Analyst, you will support Data Science & AI initiatives by managing data sources, performing analyses using SQL and Python, and developing insights and dashboards with tools like Tableau. You will ensure data quality and collaborate with teams across the organization.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

Design and implement AI-powered operational solutions utilizing AWS services and machine learning, focusing on automation, monitoring, and container orchestration, enhancing cloud infrastructure efficiency.

Develop ML pipelines, evaluate model performance, and debug issues. Generate data formats for ML models and conduct data analysis and visualization.

Responsible for designing, developing, and delivering high-quality software solutions, collaborating with cross-functional teams, and managing junior developers. You will influence decision-making and promote technical excellence.

The Sr. Software Engineer will design machine learning algorithms, handle large unstructured data, and build data pipelines for e-commerce and consumer trends.

The Staff Software Engineer will design and deploy ML algorithms, manage large data, and lead team efforts to enhance product offerings.

The role requires building and optimizing LLM-based applications using Python and libraries like PyTorch and TensorFlow, focusing on MLOps and generative AI integration.

The role involves research and development in advanced parallel computing, AI, and cloud solutions to enhance KLA's products and performance.

Develop R&D algorithms for KLA's FaST group, focusing on advanced computing and innovative parallel computing methods to enhance product performance.

The AI/ML Engineer will focus on advanced parallel computing research and software architectures for AI, HPC, and Cloud solutions to improve KLA's products.