Data and AI Engineer

Daimler AG (Canada); Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited in Bengaluru invites applications for a Data and AI Engineer. You will work on GenAI and NLP projects, training models, refining prompts, and integrating AI capabilities into enterprise workflows.

The role emphasizes collaboration with product, engineering, and business teams. The position targets early-career professionals with strong foundations in ML, DL, and NLP, plus hands-on Python and ML libraries.

Qualifications

• Bachelor's or master's in CS/DS/AI/ML or related field.
• Strong foundation in ML, DL, and NLP.
• Proficiency in Python and ML/AI libraries.

Responsibilities

• Train, fine-tune, and evaluate generative AI models (LLMs, diffusion, multimodal).
• Experiment with prompt engineering, RAG, and agent-based architectures.
• Prototype and deploy GenAI apps for business use cases.
• Collaborate with MLOps to ensure production readiness.
• Translate research into actionable business insights.

Skills

Computer Science

Data Science

AI/ML

NLP

Python

Transformer architectures

Prompt engineering

LangChain

Education

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

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Docker

Kubernetes

AWS

Azure

GCP

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