Key Skills: Machine Learning, AWS, Micro Services, Python, NLP, Deep Learning, Retrieval-Augmented Generation (RAG), NoSql, Prompt Engineering, Agentic AI, Fast Api, SQL

Roles and Responsibilities:
Lead the design and implementation of machine learning and deep learning solutions for enterprise use cases.
Develop NLP and retrieval-augmented generation systems, including data preparation, model evaluation, and inference workflows.
Build scalable Python-based AI services and integrate them into microservices architectures.
Design and operate production AI workloads on AWS with appropriate reliability, security, and scalability controls.
Provide technical direction through architecture reviews, code reviews, experimentation standards, and mentoring of machine learning engineers.

Skills Required:
11 - 13 years of relevant experience in machine learning engineering,



AI engineering, or related software engineering roles.
Solid hands-on expertise in machine learning, deep learning, NLP, and Python.
Practical experience building retrieval-augmented generation solutions and integrating AI capabilities into production systems.
Proven experience designing scalable microservices and deploying machine learning applications on AWS.
Robust understanding of model evaluation, inference services, API integration, and production testing for AI systems.

Valuable to Have:
Experience with NoSQL and SQL databases, prompt engineering, agentic AI, and FastAPI.

Education: Any graduation degree from a recognized institution.

📌 Lead Machine Learning Advisor Hyderabad
🏢 MyCareernet
📍 Hyderabad