Technical Lead – Data Science

Overview

Technical Lead – Data Science

Senior Software Engineer – Data Science

Location: Airoli, Navi Mumbai

Work Arrangement: In-office

Office Hours: 11 AM to 8 PM

Notice Period: Immediate only

Budget:
Lead: ₹30 LPA (includes 10% variable paid every quarter)

Senior Software Engineer: ₹18 LPA (entirely fixed)

Compensation Note: We cannot offer more than a 40% hike on current CTC.

Skillset Requirements: Senior Software Engineer

3.5–5 years of relevant experience in Python

Minimum 3.5 years of experience in Python programming

At least 1+ years of experience in machine learning and natural language processing

Minimum 1.5 years of experience with large language models (LLMs) and generative AI (GenAI)

At least 2 years of experience with any database

1+ years of knowledge in deploying ML models/Python applications on Azure or AWS

Familiarity with LLMOps is a plus

Key Responsibilities:
Design, develop, and maintain Python-based applications focused on ML and AI

Build and optimize ML/NLP models and integrate them into production systems

Implement and fine-tune LLMs and GenAI solutions for business applications

Design and manage database structures to support ML applications and data pipelines

Deploy and monitor ML models in cloud environments (AWS/Azure)

Collaborate with cross-functional teams to deliver effective solutions

Write clean, efficient, and well-documented code

Participate in code reviews and provide feedback

Troubleshoot and resolve technical issues in production

Stay updated with emerging trends in ML, NLP, and GenAI

Skillset Requirements: Technical Lead

5–10 years of relevant experience in data science

Minimum 5 years of experience in Python programming

At least 3 years of experience in machine learning and NLP

Minimum 2 years of experience with LLMs and GenAI

At least 2 years of experience with any database

1+ years of experience deploying ML models/Python applications on Azure or AWS

Familiarity with LLMOps is a plus

Role and Responsibilities:
Lead development, deployment, and optimization of ML, NLP models, and LLM/GenAI solutions

Develop and maintain Python-based ML pipelines and manage associated databases

Deploy AI models on Azure/AWS, ensuring performance and scalability

Mentor team members and stay updated on advancements in ML, NLP, and GenAI

Implement LLMOps best practices for efficient model lifecycle management