Overview
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- Job details
Job Information
- Date Opened 10/29/2025
- Job Type Full time
- Industry Technology
- City Hyderabad
- State/Province Telangana
- Country India
- Zip/Postal Code 500001
We are seeking a Data Scientist with strong software development experience and hands-on expertise in Generative AI and Agentic AI systems. The ideal candidate will design, develop, evaluate, and deploy AI/ML solutions that deliver measurable business value in enterprise environments.
The candidate will work closely with engineering and consulting teams to build intelligent, scalable AI systems and integrate them into production-grade platforms.
This role offers the opportunity to work on cutting-edge initiatives involving Applied AI, Large Language Models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration.
Requirements
Key Responsibilities
- Design and implement AI/ML models and pipelines for real-world business problems.
- Develop, test, and optimize Generative AI and agent-based systems.
- Build data ingestion, transformation, and feature engineering workflows.
- Apply Generative AI techniques (LLMs, embeddings, prompt engineering, RAG) for automation and cognitive use cases.
- Develop and maintain evaluation frameworks for AI and agent outputs.
- Implement logging, monitoring, and traceability mechanisms for AI systems.
- Integrate vector-based search and retrieval mechanisms with application databases.
- Build and consume APIs for AI/ML services.
- Collaborate with data engineers, software developers, and domain experts to operationalize AI solutions.
- Evaluate model performance and optimize accuracy, efficiency, and scalability.
- Contribute to the architecture of data and AI solutions within cloud environments.
- Stay updated with emerging trends in applied AI, GenAI frameworks, and MLOps practices.
- Present technical insights and recommendations to stakeholders.
- 5+ years of experience in data science, applied AI, or ML engineering roles.
- Strong Python programming skills.
- Proficiency in ML/DL libraries (TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of Generative AI and LLM-based systems.
- Hands-on experience with embeddings and vector databases.
- Experience with RAG architectures.
- Familiarity with agent orchestration frameworks such as LangChain or LangGraph.
- Proficiency in SQL and working with structured and unstructured data.
- Experience building APIs and integrating AI into applications.
- Familiarity with Azure AI stack (Azure ML, Cognitive Services, OpenAI on Azure, Data Factory, Synapse).
- Strong analytical and problem-solving skills.
- Experience with multi-agent systems and orchestration.
- Exposure to prompt engineering and LLM evaluation techniques.
- Familiarity with MLOps, CI/CD pipelines, Docker, and Kubernetes.
- Working knowledge of data visualisation or dashboarding tools.
- Strong consulting or client-facing experience.
- Master’s degree in Computer Science, Data Science, or related field.
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