Data Science & Generative AI Engineer

NewVision Software; Pune District; Híbrido; INR 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

New Vision Softcom & Consultancy Pvt. Ltd is seeking a Data Science & Generative AI Engineer to join our Digital Assurance team in Pune. The role focuses on building AI-powered solutions using Python, ML, and GenAI fundamentals, with hybrid work and immediate start.

You will develop and validate ML models, work on GenAI applications, and collaborate with cross-functional teams to deliver reliable AI capabilities across APAC region.

Formación

• 1–4 years of experience in Data Science, AI/ML, or Generative AI.

Responsabilidades

• Develop and validate machine learning models and data science solutions.

Conocimientos

Python

ML concepts

Data analysis

Data preprocessing

Model evaluation

API integration

Prompt engineering

Educación

Postgraduate or higher

Herramientas

Pandas

NumPy

Scikit-learn

LangChain

LlamaIndex

RAG

Azure OpenAI

OpenAI APIs

Hugging Face

FastAPI

Docker

Git

Vector databases

Descripción del empleo

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.