Top Machine Learning Jobs in Bangalore

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.

The Enterprise Architect is responsible for designing AI-powered enterprise solutions and leading teams in implementing and deploying AI/ML applications across various environments.

You will design ML models to improve search and personalization, mentor junior engineers, and write maintainable code while collaborating with customers.

Manage engineering teams focusing on AI and Machine Learning platform development, ensuring best practices, mentoring engineers, and collaborating across departments.

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

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

Influence the architecture, design, and implementation of AI infrastructure and ML compiler. Develop scalable, high-performing AI/ML systems while collaborating with hardware/software teams and contributing to open frameworks.

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.