AI / ML Engineer

AI/ML Architecture Development - Implement and deploy machine learning models in production environments - Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) - Apply prompt engineering and retrieval-augmented generation (RAG) techniques - Build end-to-end ML workflows from data preprocessing to model evaluation - Contribute to the development of conversational AI solutions Software Engineering Data Pipeline Development - Design, build, and maintain data pipelines and end-to-end ML workflows. - Build and deploy web services that integrate ML models - Implement APIs using frameworks like FastAPI or Flask - Work with databases (preferably MySql) and data processing tools - Ensure code quality, performance, and security in all implementations Deployment Integration - Build production-grade ML models and APIs and deploy them on cloud platforms with the help of the DevOps team. - Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team Collaboration - Work closely with cross-functional teams including data scientists and software engineers - Contribute to a culture of learning and innovation - Adapt to challenges even when requirements are ambiguous Technical Requirements: Programming Frameworks: - Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. - Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) Generative AI Expertise: - Knowledge of generative AI models and frameworks, including OpenAI APIs, - LangChain, LangGraph, Hugging Face Transformers, and related technologies. - Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. - Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval,processing, and response generation. API Development: - Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications: - Bachelor s degree in Computer Science, Engineering or related field. - 5+ years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. - Excellent problem-solving, analytical, and communication skills. - Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams. Skills: Tensorflow, FastAPI, Python Experience: 3.00-8.00 Years