Aurigo - Senior Data Scientist - Python
2 weeks ago
Role Summary
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 Senior / Staff Data Scientist to build and deploy our AI/ML, Gen AI and agentic AI products and solutions.
Key Responsibilities
This position offers an opportunity to be part of the AI transformation of our organization, working with cutting-edge technologies and solving complex challenges in a collaborative environment. We are seeking a highly skilled Senior Staff Data Scientist to carry out design, and scalable implementation of AI/Gen AI products and platforms. This role demands an individual with strong programming and debugging skills, good software development experience, deep expertise in cutting-edge AI models, architectures, and a strong commitment to responsible AI practices.
Qualifications And Required Technical Expertise
- Total 6 years of experience in software development with 5+ years of progressive experience in AI/ML, Gen and with strong coding skills
- Building predictive and prescriptive AI/ML models and domain-specific AI models for full construction lifecycle
- 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, transformers and knowledge graphs
- Proficiency in cloud platforms for AI architecture : AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings.
- 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.
- Expertise with Python, TensorFlow, PyTorch, or other relevant AI/ML libraries.
- Push proofs of concept to production-grade systems handling performance metrics, latency, and scale.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Soft Skills
- Excellent verbal and written communication skills
- Analytical thinking and problem-solving ability
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