Senior Data Scientist - Python/Generative AI

About the Role : We are looking for a highly skilled Senior Data Scientist with strong expertise in Python, GenAI, Large Language Models (LLMs), FastAPI, and Cloud Platforms (GCP/Azure/AWS). The ideal candidate should have hands-on experience in building, deploying, and scaling AI/ML solutions, developing production-grade APIs, and implementing CI/CD pipelines for machine learning applications. This role requires end-to-end ownership of ML solutions from model development and deployment to cloud infrastructure and API integration. Key Responsibilities : - Design, build, train, and optimize Machine Learning and Generative AI models. - Develop GenAI solutions using LLMs, RAG, embeddings, prompt engineering, and AI frameworks. - Build and maintain production-ready applications using Python and FastAPI. - Develop scalable REST APIs and integrate AI/ML services with enterprise applications. - Deploy ML models and AI applications on Google Cloud Platform (GCP), Microsoft Azure, or AWS. - Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools. - Implement clean, modular, and maintainable code using Object-Oriented Programming (OOP) principles. - Collaborate with Product, Data Engineering, DevOps, and Infrastructure teams to deliver scalable AI solutions. - Support cloud migration initiatives and modernize ML platforms. - Monitor, troubleshoot, and optimize deployed ML services for performance and scalability. Required Skills : - 7+ years of experience in Data Science, Machine Learning, or AI development. - Strong programming expertise in Python. - Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and prompt engineering. - Experience building APIs using FastAPI. - Strong understanding of API Development, REST APIs, and API Management. - Experience with CI/CD tools such as Jenkins or GitHub Actions. - Strong knowledge of Object-Oriented Programming (OOP) concepts and software design principles. - Experience deploying AI/ML solutions on GCP, Azure, or AWS. - Experience with Git and version control. Preferred Skills : - Docker and Kubernetes - Vector Databases (Pinecone, FAISS, ChromaDB) - Terraform or Infrastructure as Code (IaC) - ML model deployment and MLOps practices - Microservices Architecture Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. - Excellent analytical, problem-solving, and communication skills. - Experience working in Agile development environments.