Senior Data Scientist GenAI Specialist

As a Data Scientist specializing in Generative AI (GenAI), you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP. You will collaborate with cross-functional teams to integrate AI models into business applications. Additionally, you will manage tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. Key Responsibilities: - Design, develop, and deploy GenAI models using frameworks such as LLMs and RAG - Build and implement AI pipelines on cloud services like AWS, Azure, and GCP - Collaborate with cross-functional teams to integrate AI models into business applications - Manage tokenization strategies, chunking, vector stores, and prompt engineering for optimal GenAI performance - Adhere to best practices in hallucination control and ethical AI Qualifications Required: - Strong understanding of Agent Framework, RAG Framework, Chunking Strategies, LLMs, and other GenAI methodologies - Proficiency in cloud services such as AWS, Azure, and GCP - Experience in LangChain, Vector Databases, Token Management, Knowledge Graphs, Vision APIs, and Prompt Engineering - Familiarity with AI Algorithms, Deep Learning, Computer Vision, Hallucinations Control Methodology, and Responsible AI Methodology - Technical skills in Python, Docker, SQL, and versioning tools like Git - Experience with at least one cloud platform (AWS, Azure, or GCP) Candidates applying for this position should have the following eligibility criteria based on their experience level: - Consultant: 3+ years of relevant experience in Data Science - Assistant Manager: 4+ years of relevant experience in Data Science - Manager: 5+ years of relevant experience in Data Science Preferred candidates will have a strong background in Python programming, a track record of successful project delivery using LLMs or GenAI, and the ability to work effectively both independently and collaboratively in fast-paced environments.,