Data Scientist

7 days ago

Chennai, Tamil Nadu, India Preludesys Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join PreludeSys as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization.

What Youll Do

As a Data Scientist at PreludeSys, you will:

  • Design & Build AI Pipelines: Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation.
  • Agentic Systems: Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives.
  • LLM Engineering: Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making.
  • System Modernization: Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data.
  • Model Optimization: Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements.
  • Cloud & Deployment: Orchestrate scalable AI services and workflows in cloud environments.

Your Skillset

Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. Must-haves include:

  • Experience: 5+ years in AI/ML solution design and development, with hands-on LLM integration.
  • Technical Skills:
  • Python Advanced proficiency for AI/ML development and orchestration.
  • LLM Development Prompt engineering, chaining logic, context window management, API integration.
  • Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems.
  • RAG Vector databases, embeddings, and retrieval-augmented knowledge systems.
  • Cloud Deployment and management of AI services, preferably on Microsoft Azure.
  • Problem-Solving: Strong ability to debug, optimize, and scale AI-driven applications.
  • Collaboration: Effective communication with cross-functional teams, product owners, and stakeholders.

Good to Have

  • Experience with PCF or React for building intelligent front-end components.
  • Contributions to open-source AI frameworks or research.

Certifications Preferred

  • Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.

Why PreludeSys?

  • Work on cutting-edge LLM-based AI projects with global impact.
  • Collaborate with experts in AI, ML, and cloud technologies.
  • Grow your career in an innovation-driven, learning-focused environment.

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