Data Scientist / AI-ML Engineer

Job Title: Data Scientist / AI-ML Engineer

Experience: 2–3 Years

Locations: Pune / Mumbai (Work From Office)
Notice Period: Immediate or Max 15days

Role Overview

We are seeking passionate and innovative Data Scientists / AI-ML Engineers to build next-generation AI solutions leveraging Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI technologies.

The ideal candidate will have hands-on experience developing and deploying AI-powered applications, designing Retrieval-Augmented Generation (RAG) architectures, working with vector databases, and implementing modern GenAI frameworks. Experience with Knowledge Graph-based RAG systems will be a significant advantage.

Key Responsibilities

• Design, develop, train, and deploy Machine Learning and Deep Learning models for real-world business applications.

• Perform data preprocessing, feature engineering, model evaluation, and optimization.

• Build NLP solutions using transformer-based architectures such as GPT, BERT, and related models.

• Develop and optimize Large Language Model (LLM) applications and Generative AI solutions.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document chunking, embedding generation, retrieval mechanisms, and response orchestration.

• Work with vector databases to enable semantic search and contextual retrieval.

• Develop AI-powered assistants, chatbots, and intelligent automation solutions.

• Collaborate with product, engineering, and business teams to define AI use cases and deliver scalable solutions.

• Monitor model performance and continuously improve model accuracy and efficiency.

• Stay current with advancements in AI, LLMs, GenAI frameworks, and emerging technologies.

Key Technical Skills

• Machine Learning & Deep Learning
  

• Natural Language Processing & LLMs
  

• Generative AI
  

• RAG (Retrieval-Augmented Generation)
  

• Vector Databases
  

• Critical Differentiator (Highly Preferred)
  

• Knowledge Graph-Based RAG
  

Candidates with hands-on experience building Knowledge Graph-powered RAG solutions and Hybrid Retrieval Architectures will be strongly preferred.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.

• 2–3 years of hands-on experience in AI/ML development.

• Strong programming skills in Python and AI/ML ecosystems.

• Experience building and deploying machine learning and NLP solutions in production environments.

• Practical experience with LLMs, Generative AI frameworks, and RAG architectures.

• Strong understanding of data structures, algorithms, and software engineering best practices.

Preferred Candidate Profile

• Experience developing production-grade GenAI applications.

• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.

• Exposure to Knowledge Graphs and Graph-Based AI Systems.

• Passion for emerging AI technologies, LLMs, and Agentic AI.

• Ability to work independently and contribute effectively within cross-functional teams.