Data Scientist at Hyderabad

Team: AI & Data Engineering : Data Science

Location: Hyderabad, Andhra Pradesh, India

Commitment: Employee

Workplace Type: hybrid

Primary Skills

• Required Skills:
• • 4+ years of experience in Data Science, Machine Learning, or AI.
• • Strong Python programming skills and familiarity with AI/ML frameworks (TensorFlow, PyTorch, HuggingFace).
• • Hands-on experience with LLMs, prompt engineering, RAG, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• • Practical knowledge of agentic AI frameworks (Langraph, CrewAI, AutoGPT, etc.). • Familiarity with orchestration tools like Airflow, FastAPI, or similar.
• • Good understanding of RESTful APIs, microservices, and cloud platforms (AWS/GCP/Azure).
• • Should have worked in the Healthcare insurance space from the payer side
Nice to Have:
• • Exposure to LangGraph, Semantic Kernel, or agent evaluation frameworks
• • Experience working in domain-specific AI applications (e.g., healthcare, insurance, customer service).
• • Demonstrated ability to iterate quickly on prototypes and scale them into production-grade components.

Specialization

• Data Science Advanced: Data Scientist

Job requirements

• Data Scientist
• About the Role:
• We are looking for a highly motivated Data Scientist with a strong foundation in building intelligent, autonomous, and goal-driven Agentic AI systems. The ideal candidate will have hands-on experience in designing, training, and deploying AI agents that leverage LLMs, RAG, and autonomous task orchestration to solve complex business problems.
• Key Responsibilities:
• • Design and develop agentic AI systems capable of planning, reasoning, and executing tasks with minimal human input.
• • Implement LLM-based agents using frameworks such as LangGraph, AutoGPT, CrewAI, AgentOps, or similar.
• • Build and integrate Retrieval-Augmented Generation (RAG) pipelines to enable contextual grounding for agents.
• • Fine-tune and prompt-engineer foundation models (OpenAI, LLaMA, Mistral, etc.) for domain-specific use cases.
• • Collaborate with cross-functional teams to identify use cases and implement scalable AI solutions.
• • Monitor agent performance, identify bottlenecks, and improve reliability and efficiency.


• Required Skills:
• • 5+ years of experience in Data Science, Machine Learning, or AI.
• • Strong Python programming skills and familiarity with AI/ML frameworks (TensorFlow, PyTorch, HuggingFace).
• • Hands-on experience with LLMs, prompt engineering, RAG, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• • Practical knowledge of agentic AI frameworks (Langraph, CrewAI, AutoGPT, etc.).
• • Familiarity with orchestration tools like Airflow, FastAPI, or similar.
• • Good understanding of RESTful APIs, microservices, and cloud platforms (AWS/GCP/Azure).
• • Should have worked in the Healthcare insurance space from the payer side
• • Nice to Have: • Exposure to LangGraph, Semantic Kernel, or agent evaluation frameworks
• • Experience working in domain-specific AI applications (e.g., healthcare, insurance, customer service).
• • Demonstrated ability to iterate quickly on prototypes and scale them into production-grade components.