Data Scientist

Role: Data Scientist

Location: Gurugram

Experience: 5-12 Years

Role Overview:

We are seeking an experienced Data Scientist with strong expertise in Generative AI, Agentic AI frameworks, and cloud-native AI solution development. The ideal candidate will be responsible for designing, developing, and deploying advanced AI systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures on AWS.

This role requires a blend of data science, machine learning, software engineering, and system design capabilities to build scalable and production-ready AI applications that solve complex business challenges.

Key Responsibilities:

• Design and develop end-to-end Generative AI solutions leveraging Large Language Models (LLMs) and Agentic AI frameworks.
• Architect scalable AI systems with a strong focus on system design, reliability, performance, and maintainability.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge management and intelligent automation use cases.
• Develop autonomous and semi-autonomous AI agents capable of task planning, tool usage, memory management, and workflow orchestration.
• Leverage AWS AI and cloud-native services, including Amazon Bedrock, for model deployment, orchestration, and enterprise-scale AI implementations.
• Design and implement data pipelines, data processing workflows, and model-serving architectures.
• Collaborate with product managers, engineers, architects, and business stakeholders to translate business requirements into AI-driven solutions.
• Evaluate and benchmark foundation models, embeddings, vector databases, and prompt engineering techniques.
• Ensure adherence to best practices around model governance, security, scalability, observability, and responsible AI principles.
• Conduct experimentation, model evaluation, performance tuning, and continuous improvement of deployed AI systems.
• Create technical documentation, architectural artifacts, and implementation guidelines.

Mandatory Technical Skills:

• Strong experience in Generative AI and Large Language Models (LLMs).
• Hands-on expertise with Amazon Bedrock and AWS cloud ecosystem.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Strong understanding and practical experience with Agentic AI frameworks and autonomous agent development.
• Experience working with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar Agentic AI platforms.
• Strong system design and architecture capabilities for enterprise-scale AI solutions.
• Proficiency in SQL for data analysis, querying, and data validation.
• Experience with vector databases, embeddings, semantic search, and knowledge retrieval systems.
• Hands-on experience with Python and modern AI/ML development ecosystems.
• Experience deploying AI solutions in cloud-native environments.

Preferred Skills:

• Experience with multi-agent systems and workflow orchestration.
• Knowledge of MLOps, CI/CD, model monitoring, and deployment automation.
• Experience with containerization technologies such as Docker and Kubernetes.
• Exposure to API development and integration frameworks.
• Understanding of AI governance, responsible AI, and model evaluation methodologies.
• Experience working in consulting, digital transformation, or enterprise AI engagements.