Data Scientist at Hyderabad

Brillio; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading technology services provider in Hyderabad is seeking a Data Scientist to develop intelligent AI systems. The ideal candidate should have over 5 years of experience in Data Science, strong Python skills, and knowledge of LLMs and AI frameworks. This role involves designing systems for complex problem-solving and working collaboratively with teams to implement scalable AI solutions. Brillio is recognized for nurturing talent and providing a great workplace environment.

Qualifications

• 5+ years of experience in Data Science, Machine Learning, or AI.
• Hands-on experience with LLMs, prompt engineering, RAG, and vector databases.
• Practical knowledge of agentic AI frameworks.

Responsibilities

• Design and develop agentic AI systems.
• Implement LLM-based agents using various frameworks.
• Build and integrate Retrieval-Augmented Generation (RAG) pipelines.

Skills

Python programming

AI/ML frameworks

LLMs

Prompt engineering

RAG and vector databases

Tools

TensorFlow

PyTorch

FAISS

Job description

About Brillio

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio’s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Data Scientist

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).
  • Experience working 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 foundational 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).
  • Experience working 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.

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