Sr AI/ML Engineer

Job Description

Role Summary:We are seeking a highly skilled and hands-on AI/ML Engineer with 3+ years of experience indesign, development, and deployment of cutting-edge generative AI solutions integrated withrobust data engineering practices. The ideal candidate will work across our AI initiatives, includingNLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● 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 platformswith the help of DevOps team.○ Ability to Monitor, analyze, and optimize the performance of deployed models anddata workflows with the help of Devops team ● Collaboration○ Work closely with cross-functional teams including data scientists and softwareengineers○ 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 RAGsystems 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.● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI anddata engineering.● Excellent problem-solving, analytical, and communication skills.● Ability to work independently in a fast-paced, dynamic environment while effectivelycollaborating with cross-functional teams.