Top Machine Learning Jobs in Gurgaon

As a Senior Product Engineer, you will design, develop, and deploy machine learning solutions, optimize model performance, and build supporting infrastructure while collaborating with product management and leadership.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

Seeking a Senior Engineer with Machine Learning expertise to innovate solutions, guide teams, and tackle complex client challenges, enhancing overall outcomes.

As a Staff Engineer in Machine Learning, you will lead technical direction, drive product development, and support team growth through advanced solutions.

The Director of Machine Learning Research will lead the ML research direction, oversee a team, and bridge research with product development, promoting innovative applications in AI and deep learning.

Lead the design of distributed systems and ML infrastructure, drive innovation in AI and Big Data, mentor engineers, and ensure high-performance solutions.

The Senior Engineering Manager will lead innovation in AI-driven networking solutions, manage engineering teams, and oversee the full software development lifecycle, with a focus on Big Data and machine learning technologies.

The role involves leading software development for AI-driven network management, innovating ML solutions and collaborating on real-time ML platforms.

Mentor scholars in AI/ML projects, covering machine learning models, deep learning networks, and prompt engineering while guiding through development cycles and best practices.

The Software Engineer - Machine Learning will develop and improve machine learning systems for fleet safety, optimize algorithms for performance, and collaborate with cross-functional teams.

The Director of Data Engineering leads the development of data infrastructure, analytics models, and ensures compliance with data standards while leading a team to optimize healthcare operations.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

As an ML Engineer for AI Safety, you'll design and implement safety tooling for ML models, collaborate across teams, and ensure reliability through testing and monitoring.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

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

Develop AI-driven features and systems, focusing on LLM fine-tuning and integration with third-party tools. Stay current with AI advancements.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

Seeking an MLOps Engineer to build and maintain AI/ML systems for healthcare claims management, focusing on operationalizing ML models and optimizing revenue recovery.

The Senior SRE will design, build, and maintain services for data analytics and ML, ensuring reliability, scalability, and operational efficiency.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.