Senior Data Scientist

Samta - 2023

Nagpur City

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

Samta - 2023 is seeking a Senior Data Scientist / AI Engineer in Nagpur City, Maharashtra, to develop AI solutions with LLMs and machine learning. The role involves building intelligent LLM-powered agents using frameworks such as LangChain and LangGraph, implementing RAG pipelines, and applying machine learning and NLP techniques to diverse datasets. Strong skills in SQL, Python, and multi-agent systems are essential for this position. Potential candidates should have experience with real-world AI/ML use cases.

Qualifications

  • Build LLM-powered agents using frameworks like LangChain and LangGraph.
  • Design and implement RAG pipelines including retrieval and context generation.
  • Apply machine learning, deep learning, and NLP techniques to diverse data.

Responsibilities

  • Perform data preprocessing, cleaning, and statistical analysis.
  • Work with SQL and PySpark for data extraction and transformation.
  • Evaluate model and LLM performance to enhance results.

Skills

Statistics & Probability
Natural Language Processing (NLP)
LangChain / LangGraph
Multi-agent systems / agentic AI
SQL
Pyspark
Data preprocessing and feature engineering
Proficiency in Python
Experience with vector databases (FAISS, Pinecone, etc.)
Familiarity with LLM evaluation and prompt engineering
Experience working on real-world AI/ML use cases

Job description

We are hiring a Senior Data Scientist / AI Engineer to build intelligent AI solutions using LLMs, agent frameworks, and classical machine learning techniques. The role focuses on developing agentic workflows, RAG pipelines, and data-driven models to solve real business problems.

Job Description

Build LLM-powered agents using frameworks like LangChain and LangGraph

Design and implement RAG pipelines (retrieval, embeddings, context generation

Apply machine learning, deep learning, and NLP techniques to structured and unstructured data

Perform data preprocessing, cleaning, feature engineering, and statistical analysis

Work with SQL and PySpark for data extraction and transformation

Evaluate model and LLM performance and iterate to improve results

Key Skills
  • Statistics & Probability
  • Natural Language Processing (NLP)
  • LangChain / LangGraph
  • Multi-agent systems / agentic AI
  • SQL
  • Pyspark
  • Data preprocessing and feature engineering
  • Proficiency in Python
  • Experience with vector databases (FAISS, Pinecone, etc.)
  • Familiarity with LLM evaluation and prompt engineering
  • Experience working on real-world AI/ML use cases
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