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Aurigo Software Technologies Inc.

Senior Principal - Data Scientist

Aurigo Software Technologies Inc., Indiana

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Description:

Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking an experienced Principal Data Scientist to design and implement our AI/ML, Gen AI and agentic AI initiatives, with a focus on fine tuning, building models and pipelines, evaluation, and MLOps/LLMOps. The role involves building predictive and prescriptive AI models, domain-specific AI models for full construction lifecycle with AI governance, security, and responsible AI. The ideal candidate will bridge business requirements with technical solutions, leading our AI transformation initiatives across the organization. This position offers an opportunity to shape the AI transformation of Aurigo, working with cutting-edge technologies and solving complex challenges in a collaborative environment.

Requirements:

  • Overall 15+ years of experience with B.E/B.Tech/M.Tech
  • 10+ years of software development experience
  • 10+ years of progressive experience in AI/ML, with a strong track record as a data scientist, ML engineer or AI/ML architect 2+ years specifically focused on designing and implementing Gen AI solutions
  • Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines).
  • Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks.
  • Strong expertise with LLMs (e.g., GPT, Claude, Mistral)
  • Experience in Prompt engineering, RAG, Parameter Efficient Fine Tuning (PEFT), Reinfocement Learning with Human Feedback (RLHF) to improve the LLM responses including guardrails, evaluation and LLM observability to reduce hallucinations.
  • Expertise in Natural Language Processing (NLP), Transformers, Computer Vision and knowledge graphs
  • Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings
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