Data Scientist - 5 -9 yrs with 0-40 days Notice Period only (Telangana)

Job Description AI/ML Engineer (Generative AI) with Only 0-40 days Notice Period. Experience: 34 Years in AI/ML with at least 1-2 Year of hands-on experience in Generative AI Location: Bangalore/Pune/Hyderabad/ Chennai Employment Type: Full-Time Job Summary We are looking for an experienced AI/ML Engineer with a strong background in Machine Learning and Generative AI. Candidates with prior experience as a Data Engineer, Data Scientist, or Data Integration Engineer are highly preferred. The ideal candidate should have hands-on experience in building, deploying, and optimizing AI solutions using modern AI frameworks and cloud technologies. Required Skills - 34 years of solid experience in AI/ML and Data Engineering/Data Science/Data Integration. - Minimum 1 year of hands-on experience in Generative AI and Large Language Models (LLMs). - Strong programming skills in Python. - Experience with RAG (Retrieval-Augmented Generation) and LangChain frameworks. - Hands-on experience with AWS or Azure cloud platforms. - Experience with Docker, CI/CD pipelines, and deployment of AI applications. - Strong understanding of data processing, model development, and production deployment. - Knowledge of prompt engineering, embeddings, and vector databases is an added advantage. Key Responsibilities - Design, develop, and deploy AI/ML and Generative AI solutions. - Build applications leveraging LLMs, RAG, and LangChain. - Develop scalable and production-ready solutions using Python. - Work with structured and unstructured data to build AI-driven applications. - Deploy and manage AI applications on AWS or Azure. - Implement containerization and automated deployments using Docker and CI/CD. - Collaborate with business and technical teams to deliver innovative AI solutions. - Stay updated with emerging trends and technologies in AI and Generative AI. Preferred Background Candidates with experience in any of the following domains are encouraged to apply: - Data Engineering - Data Science - Data Integration - Machine Learning Engineering - Applied AI/Generative AI Development .