Data Scientist | 5+ Yrs | RAG + LLMOps + GenAI | API Integration | Bangalore | Hybrid | Immediate Joiner

Hiring: Data Scientist | RAG | LLMOps | GenAI | API Integrations

We are looking for an experienced Data Scientist with 5+ years of experience to join our team in Bangalore. The ideal candidate should have strong hands-on experience building GenAI/RAG applications, integrating APIs, and working with LLMOps tools to develop and deploy production-ready AI solutions.

Location: Bangalore

Work Mode: Hybrid

Experience: 5+ Years

Role: Data Scientist

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for business and R&D applications.
• Build scalable RAG (Retrieval-Augmented Generation) architectures using LLMs, embeddings, vector databases, and retrieval pipelines.
• Develop and integrate REST APIs and third-party APIs with AI/ML applications.
• Work with LLMOps tools and practices for model evaluation, monitoring, deployment, and lifecycle management.
• Develop proof-of-concepts and R&D applications using emerging AI technologies.
• Optimize LLM-based applications for accuracy, scalability, latency, and cost.
• Collaborate with engineering and product teams to take AI solutions from prototype to production.
• Perform experimentation, evaluation, and continuous improvement of GenAI/ML models and applications.Must-Have Skills
• 5+ years of experience in Data Science / AI/ML
• Strong hands-on experience in RAG Architecture
• Experience with LLMs / Generative AI
• Strong experience in API integrations
• Experience with LLMOps tools / LLM lifecycle management
• Experience developing R&D / AI-based applications
• Strong programming skills in Python
• Understanding of embeddings, vector databases, prompt engineering, and retrieval techniques
• Experience with ML/AI model evaluation and deploymentGood to Have
• Experience with LangChain / LangGraph / LlamaIndex
• Exposure to Azure OpenAI, OpenAI APIs, or other LLM APIs
• Experience with MLflow or similar LLMOps/MLOps platforms
• Knowledge of cloud platforms such as Azure / AWS / GCP
• Experience with AI agents, tool calling, or multi-agent systemsApply Now

If you are passionate about Generative AI, RAG, LLMOps, and building innovative AI applications, we'd love to hear from you.

Interested candidates can share their updated CV / DM for details.