Data Scientist

Celebal Technologies; Dadri, Pune District, Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Celebal Technologies is seeking a Data Scientist specializing in Agentic AI and GenAI to design, build, and deploy intelligent systems that go beyond traditional predictive modeling.

Ideal candidates bring hands-on experience with LLM-powered agents, strong Python skills, and the ability to communicate complex results to both technical and non-technical stakeholders. Join a team focused on cutting-edge AI workflows and scalable deployment.

Qualifications

• 3-6 years of experience in Data Science / ML with GenAI/LLM focus.
• Proficient in Python programming.
• Experience with LLM orchestration frameworks and multi-agent workflows.

Responsibilities

• Design and deploy agentic AI systems with multi-step reasoning and tool-use.
• Build GenAI solutions including RAG pipelines and conversational agents.
• Own the ML lifecycle from data prep to deployment and monitoring.
• Collaborate with cross-functional teams to translate business problems into AI solutions.
• Communicate findings and trade-offs clearly to stakeholders.

Skills

Python

LLM Orchestration

Agentic workflows

RAG architectures

Vector DB

Prompt engineering

LoRA/PEFT

SQL

Pandas

Communication

Statistics

Job description

Job Description: Data Scientist Agentic AI & GenAI

Experience: 3-6 years

Location: Bangalore, Noida, Pune, Hyderbad, Jaipur

Employment Type: Full-time

About the Role

We are looking for a Data Scientist with a strong focus on Agentic AI and Generative AI to design, build, and deploy intelligent systems that go beyond traditional predictive modeling. The ideal candidate combines solid data science fundamentals with hands-on experience building LLM-powered agents, and brings sharp logical reasoning and clear communication to cross-functional collaboration.

Key Responsibilities

• Design and deploy agentic AI systems (multi-step reasoning, tool-use, planning) using frameworks like LangChain, LangGraph, or CrewAI.
• Build GenAI solutions including RAG pipelines, conversational agents, and content generation using LLMs. Apply prompt engineering and evaluation techniques to improve model accuracy and reliability.
• Own the ML lifecycle - from data prep to deployment and monitoring.
• Collaborate with cross-functional teams to translate business problems into AI solutions.
• Communicate findings and trade-offs clearly to technical and non-technical stakeholders.

Required Skills & Qualifications

• 3-6 years of experience in Data Science / Machine Learning, with at least 1 year focused on GenAI/LLM-based projects.
• Strong programming skills in Python
• Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, etc.).
• Practical experience building agentic workflows - planning, tool-calling, multiagent coordination, memory management.
• Solid understanding of RAG architectures, vector databases, and embedding models. Experience with prompt engineering, evaluation frameworks (e.g., RAGAS, custom eval harnesses), and LLM fine-tuning (LoRA/PEFT is a plus).
• Decent foundation in statistics, ML algorithms, and data manipulation (SQL, Pandas).
• Excellent logical reasoning and problem-solving ability - comfortable breaking down ambiguous, open-ended problems into structured approaches.
• Good communication skills - able to explain technical concepts to non-technical stakeholders and document work clearly.

Good to Have

• Understanding of productionizing ML and GenAI workloads
• Familiarity with model safety, guardrails, and responsible AI practices.
• Working knowledge of cloud platforms (AWS/Azure/GCP) and MLOps practices (model deployment, monitoring, versioning).