1 Data Science jobs in Bangalore, India.

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ABOUT EMA Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions.

भारत

We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models .

भारत

Mouri Tech (P) Ltd

Generative AI Engineer

Job Summary :We are looking for a passionate and experienced Generative AI Engineer to join our team in building innovative AI-powered solutions using cutting-edge technologies such as LLMs, diffusion models, transformers, and other generative models.

Hyderabad, भारत

ZF Friedrichshafen

Research Scientist-AI/ML

Job Description About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals.

Chennai, भारत

  • On-site
upGrad Private Limited - About Us - upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale.

Pune, भारत

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

Noida, भारत

Role : Machine Learning Engineer - Computer Vision : We're looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. - Own and evolve end-to-end ML pipelines, from data ingestion to deployment.

India, भारत