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- Minimum of 5 years’ experience in a machine learning engineering role, preferably within the automotive industry or a related sector.
- Proven experience in developing and deploying machine learning models for real-world applications.
- Proven experience in machine learning, deep learning, and AI.
- Excellent understanding of Python programming language, CUDA, and GPU architectures for parallel computing and model optimization.
- Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and generative AI.
- Proficiency in deep learning frameworks such as PyTorch and TensorFlow.
- Experience with parallel computing and optimization for high-performance computing environments.
- Ability to work collaboratively in a team and communicate complex concepts clearly to non-technical stakeholders.
- Innovative thinking with a passion for tackling challenging problems and pushing technological boundaries.
- Solid foundation in machine learning architectures, techniques, and frameworks, with a particular emphasis on applications in computer vision and generative AI.
- Excellent analytical skills, with the ability to interpret complex data and translate findings into strategic insights and practical solutions.
- Strong communication skills, capable of conveying technical concepts to non-technical stakeholders.
- Self-motivated with a passion for continuous learning and professional development.
- Experience working in Agile and on a cloud provider (such as Azure) would be a plus
Key Skills
Ranked by relevance
machine learning
parallel computing
computer vision
deep learning
pytorch
python
cloud
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- Posted
- Feb 26, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Pune District
- Company
- Tata Technologies
Industries
Engineering Services
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-07-06
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View Job Details
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2026-07-04
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2026-07-06
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