We're Hiring | Senior AI Engineer | CapGemini

Work Mode: Work From Office

Experience: 6–9 Years

CTC: ₹25–32 LPA

Joining: Immediate Joiners to 10 Days Only

Interview Process: Only 1 Face-to-Face Technical Round (Post Screening)

Key Responsibilities

Develop, deploy, and optimize AI/ML models for production settings.

Fine-tune Large Language Models (LLMs) using LoRA, QLoRA, and PEFT techniques.

Build scalable NLP, retrieval, and multimodal AI solutions.

Integrate AI systems with Graph Databases and Vector Databases.

Collaborate with cross-functional teams and mentor junior engineers.

Drive innovation by implementing cutting-edge AI technologies.

Required Skills

Strong hands-on experience with TensorFlow, PyTorch, and Hugging Face

Expertise in LLM Fine-Tuning (LoRA, QLoRA, PEFT)

Experience with Graph Databases (Neo4j, TigerGraph)

Hands-on with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB)

Deep understanding of Transformers, GANs, and Diffusion Models

Solid experience in NLP,



Retrieval Systems, and Multimodal AI

Excellent Python programming with NumPy, Pandas, Scikit-learn

Experience deploying ML models on AWS, Azure, or GCP

Preferred Skills

MLOps knowledge for AI deployment and monitoring

Open-source contributions or AI research publications

Understanding of Ethical AI and Data Privacy

Experience with multimodal AI applications

Qualification

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

What We're Looking For

Robust analytical and problem-solving skills

Excellent communication and stakeholder management

Ability to mentor team members and work independently

Passion for building production-ready AI solutions

If you're passionate about building next-generation AI solutions and meet the above criteria, we'd love to hear from you!

📌 Senior Ai Engineer Capgemini Karnataka
🏢 Vrinda International
📍 Karnataka