Senior Data Scientist

Role & responsibilities

Senior Data Scientist - Multi-Agent AI Systems

Experienece- 4-12 years

Lovcations- Hyderabad/Pune/Bangalore

About the Role

We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence.

Key Responsibilities

Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives

Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources

Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication

Build, train, and fine-tune generative AI models for various applications within multi-agent systems

Develop robust evaluation frameworks to measure and improve multi-agent system performance

Implement efficient knowledge sharing mechanisms between AI agents

Write clean, efficient, and well-documented Python code for production-ready AI systems

Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems

Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions

Required Qualifications

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field

4+ years of professional experience in data science or machine learning engineering

Extensive experience with Python programming and related data science/ML libraries

Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models)

Proven experience building RAG-based systems and implementing vector databases

Strong background in prompt engineering for large language models

Experience designing and implementing generative AI-based multi-agent architectures

Excellent problem-solving skills and ability to optimize complex AI systems

Preferred Qualifications

Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems

Familiarity with orchestration tools for managing complex AI workflows

Knowledge of agent communication protocols and collaborative problem-solving frameworks

Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure)

Contributions to open-source AI projects or research publications in relevant fields

Experience with knowledge graphs and semantic reasoning systems

Familiarity with MLOps practices and deployment of AI systems at scale