onsite
Senior Staff AI/MLE Scientist - Intuit
Software Engineer
Lead end‑to‑end ML stack for a consumer platform, driving production models that generate millions in value. Own feature infrastructure, training pipelines, and deployment, while partnering with cross‑functional teams to translate business problems into scalable AI solutions.
About the role
Key Responsibilities
- Own the full ML lifecycle: design, build, and maintain feature pipelines, training workflows, and model serving infrastructure.
- Collaborate with product, marketing, and analytics teams to translate ambiguous business challenges into robust ML systems.
- Drive performance, scalability, and reliability of production models that impact millions of users.
- Mentor and guide a high‑performing data science team, setting technical standards and best practices.
- Advise on architecture, tooling, and cloud (AWS) solutions to support large‑scale ML operations.
Requirements
- 10+ years of experience in data science or machine learning engineering, with a proven track record of delivering production‑grade models.
- Expertise in Python, advanced ML frameworks, and cloud platforms (AWS).
- Deep knowledge of feature engineering, model training pipelines, and scalable deployment strategies.
- Strong communication skills and ability to influence cross‑functional stakeholders.
- Experience leading and scaling technical teams in a fast‑moving environment.
Skills
pythonmachine learningaws