Lead II

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

• Proficiency in Python

• Strong hands-on coding experience in Python, including libraries commonly used in AI/ML development.

• Experience building ML/GenAI solutions

• Capable of architecting, implementing, and optimizing ML/GenAI systems.

• Familiarity with ML model lifecycle and GenAI concepts.

• Strong troubleshooting and self-starter mindset

• Ability to independently identify, diagnose, and resolve technical challenges.

• Demonstrated ownership and initiative in delivering solutions.

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

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.