Top Machine Learning Engineer Jobs in Mumbai

The Machine Learning Engineer will build AI workflows, fine-tune LLMs, perform prompt engineering, and develop AI solutions for autonomous tasks.

The Machine Learning Engineer will leverage machine learning and natural language processing to analyze data and generate insights for PitchBook's platform. Responsibilities include developing features using Python, collaborating with product and engineering teams, and staying updated on industry trends.

As a Senior Machine Learning Engineer at PitchBook, you will apply machine learning and NLP techniques to analyze unstructured data and extract insights for capital markets. You'll collaborate with data scientists and engineers to optimize data processes, contribute to best practices in ML, and mentor junior team members while supporting the company's vision.

The Associate Solution Architect will design and develop high-performance distributed applications, write and check in code for continuous integration, and oversee a small team. Responsibilities include developing user-centric web services, software solutions for system integration, and producing quality software related to machine learning and data analytics.

As an Associate Solution Architect, you will design and develop high-performance, user-centric applications, manage a team, ensure quality software production, and integrate various systems while utilizing machine learning and data analytics.

As a Principal Machine Learning Engineer, you will lead the development of machine learning algorithms, model training, and collaborate with various teams to integrate AI functionalities into products.

Manage and lead large development teams focused on AI and ML platforms, ensuring operational excellence and effective delivery of complex software. Drive technical innovation, support team growth, and collaborate with stakeholders on strategic direction.

The Engineering Manager for Data Science and Machine Learning will lead a team in executing AI and ML initiatives focused on data collection, providing technical leadership in systems and model development while mentoring engineers. Responsibilities include overseeing data pipeline engineering, driving innovation, ensuring system integrity, collaborating cross-functionally, and fostering a high-performance team culture.

As a Software Engineer - Vision, you will develop and optimize computer vision algorithms, improve existing models, and collaborate with cross-functional teams on AI systems.

As a Wireline Field Specialist, you will provide wellsite support and logging services, assist with equipment maintenance, and work collaboratively with customers and drill crews to ensure operations adhere to safety and compliance standards.

Engineer III - ML Platform will build and optimize ML pipelines for a large-scale data platform, collaborating with engineers and scientists to enhance operational success and model deployment.

The Senior Controls Engineer is responsible for advanced diagnostics, repairs, and optimizations of control systems across data centers. This role involves collaborating with multiple teams, conducting root cause analyses, leading projects, and training junior engineers while ensuring adherence to safety and operational standards.

As a Machine Learning Engineer, you will design and implement machine learning algorithms for predictive analytics using large data sets. You will leverage big data for model building, perform data analysis, and provide insights to stakeholders while mentoring junior staff.

As a Lead Machine Learning Engineer, you will develop advanced analytics and maintain ML infrastructure, collaborating with cross-functional teams to deliver secure SaaS products.

As a Machine Learning Engineer, you'll develop and implement advanced analytics, maintain ML infrastructure, and work with cross-functional teams to generate actionable insights.

Lead engineering teams in delivering scalable software solutions while setting technical vision and guiding product development and collaboration.

The AI & Machine Learning Engineer will develop and maintain machine learning models, focusing on computer vision and NLP to enhance live selling platforms. Responsibilities include model training, deploying solutions, and collaborating with cross-functional teams.