AI / ML Engineer

Responsibilities:
Design, develop, and deploy AI/ML and Generative AI solutions for business use cases.
Build and optimize LLM-based applications using LangChain, RAG pipelines, embeddings, and vector databases.
Develop, train, evaluate, and fine-tune Machine Learning models.
Work on NLP, predictive analytics, recommendation systems, and intelligent automation projects.
Build scalable APIs and AI services using Python frameworks.
Integrate AI solutions with cloud infrastructure and enterprise applications.
Collaborate with data scientists, software engineers, and business teams to deliver production-grade solutions.
Perform model monitoring, optimization, and performance tuning.
Ensure scalability, security, and reliability of AI systems.
Requirements:
Strong proficiency in Python programming.
Hands-on experience in Machine Learning and Data Science concepts.
Experience with Generative AI and LLM-based application development.
Strong knowledge of LangChain, prompt engineering, and RAG architecture.
Experience with cloud platforms such as AWS.
Knowledge of vector databases, embeddings, and semantic search.
Experience with REST APIs, model deployment, and scalable AI services.
Understanding of ML lifecycle, model evaluation, and optimization techniques.

Experience
4-8 yrs