Top Machine Learning Jobs in India

As a Machine Learning Engineer, you'll build tools and infrastructure for behavior development cycles, collaborating closely with teams to enhance data collection, training, and evaluation processes for robotics.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Senior AI ML Engineer role focuses on developing innovative AI and ML applications, integrating solutions, and emphasizing AI ethics throughout the product lifecycle using frameworks and tools for large language models.

The role involves building a large-scale ML platform, focusing on LLM usage, ensuring safety, performance, and developing orchestration patterns, while leading engineering initiatives in a cloud-based environment.

The Software Engineer II role focuses on enhancing Tekion's AI-driven automotive platform by developing LLM control mechanisms, managing agent systems, and optimizing ML model performance to improve dealership outcomes and consumer experiences.

The role develops Tekion's AI-native platform by implementing machine learning and LLM systems to enhance automotive retail efficiency and personalization.

As a Senior ML Engineer, you'll design production-grade systems for LLM benchmarking, develop LLM Proxy functionality, implement monitoring, and lead automation efforts, collaborating with cross-functional teams to enhance AI-driven experiences at Zendesk.

As a Senior ML Engineer at Kensho, you will develop, deploy, and evaluate ML systems, working with LLMs and data retrieval to enhance AI products.

The Senior Software Development Engineer in Test will lead quality engineering for AI applications, focusing on automation frameworks, performance testing, and cross-functional collaboration with teams.

As an Engineering Manager, you will lead a team of engineers, oversee project execution, contribute technically, and mentor team members in developing AI applications.

As an Analyst II at Sprinklr, you will collaborate with teams to build AI products, manage service delivery, and ensure quality in ML projects while maintaining stakeholder communication and documenting processes.

Develop embedded AI/ML applications for Microchip platforms, create demos, validate designs, and provide technical support to customers. Collaborate with teams on cutting-edge AI technologies.

The Senior Applications Engineer will develop Edge AI applications for embedded systems, validate designs, and collaborate with teams for customer solutions.

The Senior DevOps Engineer will enhance AWS cloud infrastructure for the i-Ready SaaS application, develop CI/CD capabilities, and ensure seamless system integration.

As a ML Platform Engineer, you will implement tools, infrastructure, and pipelines for robotics, focusing on ML applications, collaborating with teams, and mentoring others.

Design, develop, and deploy machine learning solutions, collaborating with teams to enhance AI capabilities and performance through innovative RAG systems.

Lead the development and integration of AI/ML models into web applications, optimize AI solutions, and mentor junior engineers.

Lead the deployment, monitoring, and maintenance of machine learning models in cloud environments, while overseeing a small team and performing advanced data analysis.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

Design and build scalable ML platforms and infrastructure for payment optimizations, collaborating with teams and mentoring new members.

Design and implement scalable machine learning models, automate tests, and utilize data engineering for actionable insights. Collaborate on AI/ML solutions meeting business needs.

As a Senior Machine Learning Engineer, you'll design, develop, and deploy advanced AI models, mentor junior members, and collaborate across teams to enhance AI capabilities in the construction industry.

As a Senior Machine Learning Engineer, you'll build LLM-powered agents, collaborate on experiments, support prompt engineering, and monitor AI features in production.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.