Data Scientist

Optimum Data Analytics

Pune District

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

Optimum Data Analytics is seeking a Data Scientist / AI-ML Engineer in Pune with 4-7 years of experience. The role focuses on building scalable AI solutions using Python, LLMs, and Generative AI techniques, including RAG and Agentic AI systems, with cloud deployment on Azure.

You will work on data preprocessing, feature engineering, and model optimization, collaborating with cross-functional teams to deliver business-driven AI solutions.

Qualifications

Proficient in Python and ML concepts including model training and evaluation.
Strong OOP skills and knowledge of CS fundamentals, data structures, and design patterns.
Hands-on experience with Generative AI, LLMs, and retrieval strategies (RAG).
Experience with Git and version control for collaborative development.
Familiarity with cloud deployment on Azure/AWS/GCP and MLOps practices.
Ability to preprocess data, perform feature engineering, and optimize models.

Responsibilities

Design, develop, and deploy ML and Generative AI solutions.
Build LLM-based apps with prompt optimization and fine-tuning.
Create and optimize RAG pipelines for data retrieval.
Develop Agentic AI workflows and autonomous agents.
Preprocess data, engineer features, and optimize models.
Build scalable backend using Python and work with SQL databases.
Deploy AI models on cloud platforms and monitor performance.
Ensure Responsible AI practices across projects.
Collaborate with cross-functional teams to deliver business value.

Skills

Python

OOP

Data Structures & Algorithms

Git

ML Concepts

Generative AI

LLMs

Prompt Engineering

RAG

Agentic AI

Design Principles

Databases & SQL

Cloud Platforms (Azure/AWS/GCP)

Education

Bachelors or Masters in CS/IT/Engineering

MCA / BCA / B.Sc. (CS)

Statistics (IT career only)

ETC Engineering (IT career)

Tools

Azure

AWS

GCP

Job description

Experience - 4-7 years

Location- Pune

Job Summary

We are looking for a highly skilled Data Scientist / AI-ML Engineer with strong programming fundamentals and hands-on experience in Machine Learning and Generative AI. The ideal candidate should have expertise in Python, LLMs, and modern AI practices including Prompt Engineering, RAG, and Agentic AI systems. The role involves building scalable AI solutions and working on cloud platforms (preferably Azure).

Key Responsibilities

Design, develop, and deploy Machine Learning and Generative AI solutions
Work on LLM-based applications, including prompt optimization and fine-tuning
Build and implement RAG (Retrieval-Augmented Generation) pipelines
Develop and manage Agentic AI workflows / autonomous agents
Perform data preprocessing, feature engineering, and model optimization
Build scalable backend systems using Python
Work with structured and unstructured data using SQL and databases
Deploy and manage AI models on cloud platforms
Ensure adherence to Responsible AI principles
Collaborate with cross-functional teams to deliver business-driven solutions

Mandatory Skills

Strong understanding of Object-Oriented Programming (OOPs)
Solid knowledge of Data Structures and Algorithms
Proficiency in Python
Strong understanding of Python Design Principles
Hands-on experience with Git (version control)
Experience in Machine Learning (ML) concepts and implementation
Hands-on exposure to Generative AI (Gen AI)
Experience working with LLMs (Large Language Models)
Knowledge of RAG (Retrieval-Augmented Generation) frameworks
Exposure to Agentic AI / AI agents / autonomous workflows
Strong skills in Prompt Engineering
Understanding of Responsible AI conceptsExperience with Databases and SQL Queries
SQL / MySQL / PostgreSQL
Familiarity with Computer Science fundamentals & design principles
Experience with Cloud Platforms (Azure / AWS / GCP)
Candidate must be comfortable working on Azure or have strong fundamentals