Data and AI Engineer
Mercedes-Benz Research and Development India Private LimitedBangalore, India (Hybrid)
About MBRDI
Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
We are seeking a motivated and curious AI Engineer with a strong interest in Generative AI (GenAI) and Data Science to join our Applied AI team. In this role, you will contribute to the development and deployment of cutting-edge AI solutions leveraging Large Language Models (LLMs) and other GenAI technologies. This is an excellent opportunity for early-career professionals to gain hands-on experience in applying AI to real-world challenges across business and technical domains.
Key Responsibilities
Model Development & Experimentation
- Work on training, fine-tuning, and evaluating generative AI models, including LLMs, diffusion models, and multimodal systems.
- Experiment with prompt engineering, RAG (Retrieval-Augmented Generation), and agent-based architectures.
- Benchmark model performance and optimize for accuracy, efficiency, and scalability.
Prototyping & Deployment
- Build proof-of-concept applications showcasing GenAI capabilities for business use cases.
- Support integration of GenAI models into enterprise workflows, APIs, or platforms.
- Collaborate with MLOps engineers to ensure models are production-ready.
Research & Innovation
- Stay updated with the latest advancements in GenAI, NLP, and multimodal AI.
- Explore new architectures, frameworks, and evaluation methods.
- Contribute to knowledge sharing within the team and broader organization.
Collaboration & Stakeholder Engagement
- Work closely with cross-functional teams, including product, engineering, and business, to understand problem statements and co-create solutions.
- Translate research findings into actionable insights for business applications.
- Present results and demos to technical and non-technical stakeholders.
Qualifications
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Applied Mathematics, or a related field.
- Strong foundations in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- Proficiency in Python and relevant ML/AI libraries, including PyTorch, TensorFlow, Hugging Face, and LangChain.
- Basic knowledge of transformer architectures and experience working with pre-trained models.
- Familiarity with cloud platforms such as AWS, Azure, or GCP and containerization with Docker and Kubernetes is a plus.
- Strong problem-solving, analytical, and communication skills.
Preferred Skills
- Experience with vector databases such as Pinecone, FAISS, or Weaviate for RAG pipelines.
- Exposure to agent frameworks such as LangChain Agents, LlamaIndex, or AutoGPT.
- Understanding of responsible AI practices, including bias, interpretability, and security.
- Contributions to open-source AI/ML projects or participation in hackathons.
Benefits
- Employee discounts
- Possible health benefits
- Mobile phone for employees
- Possible meal discounts
- Company retirement
- Possible hybrid work
- Mobility offers
- Employee events
- Coaching
- Possible flextime
- Near-site childcare
- Parking
- Canteen and café
- Good public transport
- Barrier-free workplace
- In-house doctor
Contact
Mercedes-Benz Research and Development India Private Limited
Plot No. 5-P, EPIP 1st Phase
560066 Bangalore
Kengal Rohith Keerthy
E-Mail: rohith.kengal@mercedes-benz.com