Data and AI Engineer

Selectrucks; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited in Bengaluru seeks anData and AI Engineer to advance GenAI initiatives, train/ evaluate models, and deploy AI solutions for business use cases. You will collaborate with product, engineering and business teams to translate research into actionable insights and demonstrable prototypes.

The role emphasizes hands-on work with LLMs, diffusion models, NLP, and multimodal AI, and requires strong Python, ML libraries, and cloud/container

Qualifications

• Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, Applied Mathematics, or related field.
• Strong foundations in Machine Learning, Deep Learning, and NLP.
• Proficiency in Python and ML/AI libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
• Basic knowledge of transformer architectures and pre-trained models.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong problem-solving, analytical, and communication skills.

Responsibilities

• Train, fine-tune, and evaluate generative AI models (LLMs, diffusion models, multimodal).
• Experiment with prompt engineering, RAG, and agent-based architectures.
• Benchmark model performance and optimize for accuracy, efficiency, and scalability.
• Prototype and deploy GenAI solutions; integrate models into enterprise workflows and APIs.
• Collaborate with MLOps to ensure production readiness and monitor updates.
• Stay updated with GenAI, NLP, and multimodal AI advances; explore new architectures and evaluation methods.
• Share knowledge within the team and across the organization.
• Collaborate with product, engineering, and business teams to translate research to actionable insights.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Python

Transformer architectures

Problem solving

Communication

Education

Bachelor’s degree in Computer Science/Data Science/AI/ML/Applied Mathematics

Master’s degree preferred

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Docker

Kubernetes

Job description

Job Description - Data and AI Engineer (MER00049BJ)

Data and AI Engineer Group : Mercedes-Benz Group AG

Description

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 inGenerative AI (GenAI) and Data Scienceto 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

• 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.
• 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

• 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.
• 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.

Qualifications

Required Qualifications

• Bachelor’s/Master’s inComputer Science, Data Science, AI/ML, Applied Mathematics, or a related field.
• Strong foundations inMachine Learning, Deep Learning, and Natural Language Processing (NLP).
• Proficiency inPythonand relevant ML/AI libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
• Basic knowledge oftransformer architecturesand experience working with pre-trained models.
• Familiarity withcloud platforms(AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
• Strong problem-solving, analytical, and communication skills.

Preferred Skills (Good to Have)

• Experience withvector databases(Pinecone, FAISS, Weaviate) for RAG pipelines.
• Exposure toagent frameworks(LangChain Agents, LlamaIndex, AutoGPT, etc.).
• Understanding ofresponsible AI practices(bias, interpretability, security).
• Contributions to open-source AI/ML projects or participation in hackathons.

Organization

Mercedes-Benz Research and Development India Private Limited

Primary Location

India-Karnataka-Bangalore

Work Locations

Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066