Data Science & Generative AI Engineer

NewVision Software; Pune District; Hybrid; INR 600,000 - 900,000; Full time

Job summary

New Vision Softcom & Consultancy Pvt. Ltd in Pune is seeking a Data Science & Generative AI Engineer to design, evaluate, and deploy AI-powered solutions. Proficiency in Python and ML fundamentals is required.

You will build GenAI applications using LLMs, prompt engineering, and RAG pipelines; perform data preprocessing, EDA, feature engineering; integrate APIs and vector databases.

Qualifications

• 1–4 years of experience in Data Science, AI/ML, or Generative AI.
• Strong programming in Python and ML fundamentals.
• Hands-on with Pandas, NumPy, Scikit-learn, and data preprocessing.

Responsibilities

• Develop and validate machine learning models and data science solutions.
• Build GenAI applications using LLMs, prompt engineering, and RAG pipelines.
• Perform data preprocessing, exploratory data analysis (EDA), and feature engineering.
• Develop Python-based AI/ML solutions using relevant frameworks and libraries.
• Integrate LLMs with APIs, vector databases, and external tools.
• Evaluate model accuracy, response quality, performance, and reliability.

Skills

Python

GenAI fundamentals

Machine Learning

Data Science

LLMs

Education

Graduation/Equivalent Course Post Graduate

Tools

Pandas

NumPy

Scikit-learn

LangChain

LlamaIndex

Job description

Company Name New Vision Softcom & Consultancy Pvt. Ltd

Function Business Units (BU)

Department/Practice Digital Assurance

Organization Unit Technology Assurance / Automation

Region APAC

Country India

Base office location Pune

Working model Hybrid

Weekly Off Pune office Standard

State Maharashtra

Skills

Skill

Graduation/Equivalent Course Post Graduate

CERTIFICATION

Working Language

Job Description

Job Description: Data Science & Generative AI Engineer

Experience: 1–4 Years
Notice Period: Immediate to 30 Days Preferred

Role Overview

Looking for a Data Science & Generative AI Engineer with strong Python, Machine Learning, and GenAI fundamentals to develop, evaluate, and implement AI-powered solutions.

Key Responsibilities

• Develop and validate machine learning models and data science solutions.
• Build GenAI applications using LLMs, prompt engineering, and RAG pipelines.
• Perform data preprocessing, exploratory data analysis (EDA), and feature engineering.
• Develop Python-based solutions using relevant AI/ML frameworks and libraries.
• Integrate LLMs with APIs, vector databases, and external tools.
• Evaluate model accuracy, response quality, performance, and reliability.
• Support AI agent development, experimentation, debugging, and deployment.

Mandatory Skills

• 1–4 years of experience in Data Science, AI/ML, or Generative AI.
• Strong programming skills in Python.
• Knowledge of Machine Learning, statistics, and data analysis.
• Hands-on experience with Pandas, NumPy, and Scikit-learn.
• Understanding of LLMs, prompt engineering, and Generative AI concepts.
• Knowledge of data preprocessing, model evaluation, and API integration.

Good to Have

• Hands-on experience with RAG, LangChain, or LlamaIndex.
• Exposure to Agentic AI, AI agents, and tool calling.
• Familiarity with vector databases and embedding models.
• Experience with Azure OpenAI, OpenAI APIs, or Hugging Face.
• Basic knowledge of FastAPI, Docker, Git, and cloud platforms.