Tätigkeitsbereich:Produktion

Fachabteilung:Production Planning 1

Gesellschaft:Mercedes-Benz Research and Development India Private Limited

Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore

Startdatum:01.01.2027

Veröffentlichungsdatum:22.10.2026

Stellennummer:MER00049BJ

Arbeitszeit:Vollzeit

Aufgaben

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 (LLMs, diffusion models, 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 (product, engineering, business) to understand problem statements and co-create solutions.
- Translate research findings into actionable insights for business applications.
- Present results and demos to both technical and non-technical stakeholders.

Key Responsibilities
- Model Development & Experimentation
- Work on training, fine-tuning, and evaluating generative AI models (LLMs, diffusion models, 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 current architectures, frameworks, and evaluation methods.
- Contribute to knowledge sharing within the team and broader organization.

- Collaboration & Stakeholder Engagement





- Work closely with cross-functional teams (product, engineering, business) to understand problem statements and co-create solutions.
- Translate research findings into actionable insights for business applications.
- Present results and demos to both technical and non-technical stakeholders.

Qualifikationen

Required Qualifications

- Bachelor’s/Master’s 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 (PyTorch, TensorFlow, Hugging Face, LangChain).
- Basic knowledge of transformer architectures and experience working with pre-trained models.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving, analytical, and communication skills.

Preferred Skills (Good to Have)
- Experience with vector databases (Pinecone, FAISS, Weaviate) for RAG pipelines.
- Exposure to agent frameworks (LangChain Agents, LlamaIndex, AutoGPT, etc.).
- Understanding of responsible AI practices (bias, interpretability, security).
- Contributions to open-source AI/ML projects or participation in hackathons.

Benefits

Mitarbeiterrabatte möglich

Gesundheitsmaßnahmen

Mitarbeiterhandy möglich

Essenszulagen

Betriebliche Altersversorgung

Hybrides Arbeiten möglich

Mobilitätsangebote

Mitarbeiter Events

Coaching

Flexible Arbeitszeit möglich

Kinderbetreuung

Parkplatz

Kantine, Café

Gute Anbindung

Barrierefreiheit

Betriebsarzt

Kontakt Mercedes-Benz Research and Development India Private Limited

Plot No. 5-P, EPIP 1st Phase560066 BangaloreDetails zum Standort

Kengal Rohith Keerthy E-Mail: [email protected]

📌 Data and AI Engineer (Bengaluru)
🏢 Mercedes Benz Group
📍 Bengaluru