Data and AI Engineer
Mercedes-Benz Group AG (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, fine-tune, and evaluate generative AI models including LLMs, diffusion models, and multimodal systems.
- Build proof-of-concept applications for Generative AI business use cases and collaborate on integrating AI models into enterprise workflows with MLOps support.
- Research latest GenAI advancements and work with cross-functional teams to translate AI research into business solutions and presentations.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Applied Mathematics, or related field.
- Strong foundational knowledge of Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- Proficiency in Python and ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, LangChain.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with transformer architectures and working with pre-trained models in generative AI contexts.
- Familiarity or interest in prompt engineering, RAG pipelines, multimodal AI, and agent-based architectures.
- Comfortable collaborating with technical and non-technical stakeholders to co-create AI-based business solutions and communicate findings clearly.