Lead II - ML/GenAI

7 - 9 Years
2 Openings
Hyderabad

Role Overview

We are seeking a highly skilled engineer to design, develop, and deploy Machine Learning (ML) and Generative AI (GenAI) solutions. The ideal candidate has strong Python expertise, hands-on ML/GenAI experience, and the ability to independently troubleshoot complex technical issues. This role involves working across the full development lifecycle—from concept and prototyping to production deployment—while collaborating with cross-functional teams to deliver high-impact AI-driven applications.

Key Responsibilities

• Design, build, and optimize ML and GenAI models and pipelines.

• Develop high-performance, scalable architectures for AI-driven applications.

• Implement Python-based services, APIs, and data-processing components.

• Collaborate with product, data, and engineering teams to translate requirements into technical solutions.

• Conduct experiments, evaluate model performance, and iterate on improvements.

• Troubleshoot and resolve complex issues across the stack with minimal supervision.

• Contribute to code quality through reviews, testing, and best practices (OOP, SOLID, TDD).

• Prototype end-to-end AI solutions, from data ingestion to deployment.

• Document design decisions, workflows, and architectural components.

• Mentor junior developers (if applicable) and support a culture of technical excellence.

Experience Requirements

• Proven experience building ML or GenAI solutions in a production or advanced prototyping environment.

• Strong background in Python development for ML/AI applications.

• Exposure to modern ML/GenAI workflows, experimentation, and deployment practices.

• Experience working in collaborative software engineering environments.

Mandatory Skills

Good-to-Have Skills

• Degree in a STEM discipline or equivalent practical experience.

• Familiarity with Unix/Linux environments.

• Knowledge of multiple programming languages in addition to Python.

• Strong grounding in Object-Oriented Programming, SOLID principles, and Test-Driven Development (TDD).

• Experience with Docker and container orchestration (Kubernetes, Docker Swarm, or cloud alternatives).

• Full-stack development exposure, especially for rapid prototyping.

• Enthusiasm for applying GenAI and ML across diverse problem domains.

• Understanding of ML techniques such as LLMs, GBMs, and deep learning, as well as modern software architectures.

• Experience serving as a lead developer or mentoring junior engineers.

• Familiarity with ML frameworks including scikit-learn, XGBoost, TensorFlow, etc.

• Hands-on experience with GenAI patterns like RAG and LLM fine-tuning.

• Cloud experience, preferably with AWS.

• Experience developing REST APIs.

Education (Optional)

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related STEM fields preferred.

Python,Machine Learning,Aws