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.