Top Machine Learning Jobs in Gurgaon

Analyze, design, code and test application components while maintaining and enhancing existing systems. Collaborate with teams and ensure quality through code reviews.

Analyze, design, code, and test application components while collaborating with teams and ensuring optimal functionality and quality.

As a Software Development Engineer, you will analyze, design, code, and test application components. You’ll collaborate with teams, maintain applications, and enhance features, focusing on machine learning.

The role involves managing chiller diagnostics, servicing, customer satisfaction, compliance, and collaboration with internal teams for operational excellence in HVAC services.

As a Sr. Engineer on the Data + ML Platform team, you will design and build scalable ML pipelines and ensure best practices in development and deployment, shaping critical business decisions in modern cybersecurity.

The Lead Data Engineer will manage a team, develop data pipelines, interpret project requirements, and advocate for data architecture solutions, while fostering team growth and collaboration.

Lead the development and integration of AI capabilities into core applications using .NET Full Stack. Responsibilities include mentoring, designing scalable APIs, collaborating with teams, and ensuring code quality.

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

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

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.

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.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

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

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

The Senior Machine Learning Engineer will design and implement advanced ML algorithms for search and recommendations, collaborating with data teams and staying updated on ML advancements.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

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.

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.

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.