Data Scientist - The ideal candidate will have a strong background in building production-grade solutions, implementing end-to-end Generative AI projects, and working across cloud ecosystems. Key Responsibilities- Design and implement Generative AI applications using advanced methodologies such as RAG, prompt engineering, embeddings, and fine-tuning. - Develop production-grade AI/ML solutions leveraging cloud platforms like GCP Vertex AI, Azure AI, and AWS Bedrock. - Work with structured and unstructured data to build RAG-based solutions. - Integrate agent frameworks (e. G., Google ADK, LangGraph, CrewAI) into AI workflows. - Collaborate with cross-functional teams to ensure API integration, test automation, and adherence to software engineering best practices. - Optimize applications for scalability and performance in cloud environments. Required Skills & Experience- 68 years of experience in AI/ML and Data Science, including 2 years in Generative AI projects. - Strong proficiency in Python and frameworks such as Flask and FastAPI. - Hands-on experience with deep learning, TensorFlow, and NLP techniques. - Expertise in cloud AI services, preferably GCP Vertex AI, and familiarity with Vertex AI Vector Search, Gemini, Cloud Run, and Cloud SQL. - Experience with agent-based frameworks like LangChain and LangGraph. - Solid understanding of API integration, test automation, and software engineering principles. - Excellent teamwork and communication skills. Qualifications- Bachelors degree in Computer Science or related field. - Proven ability to deliver end-to-end Generative AI solutions in production environments.