Data Scientist specializing in Generative AI

About the job

As a Data Scientist specializing in Generative AI, your role will involve utilizing your 3 years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. You will be responsible for demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. Additionally, you will apply your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools will be crucial in this role. Proficiency in utilizing Hugging Face for model building and fine-tuning is required. You should also demonstrate strong Python development skills specifically tailored for AI applications. Working with vector databases, embeddings, and semantic search implementations will be part of your responsibilities. Your solid MLOps background, including CI/CD pipelines, DevOps integration, and AI deployment optimization, will play a key role. Familiarity with FastAPI, Databricks, AWS, MLflow, Faiss, Redis, and OpenAI APIs is desired. As a great problem-solver who enjoys debugging and improving AI systems, you will thrive in this position. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field - 4 to 5 years of relevant experience in Data Science with a focus on generative AI and NLP - Proven track record of working with AI tools and frameworks mentioned in the job description If you are passionate about Data Science and Generative AI, and enjoy working on cutting-edge technologies, this role is perfect for you. Apply now by sending your resume to hidden_email or call hidden_mobile. Please note that this is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person at Noida.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field

Benefits

• cell phone reimbursement
• health insurance
• paid sick time
• paid time off
• Provident Fund