onsite
Principal Applied AI Lead, Talent - Intuit
Software Engineer
Lead the design and deployment of AI-driven tools for Talent Acquisition, transforming recruiting workflows with advanced ML, NLP, and automation on AWS, to deliver scalable, production-ready solutions that accelerate hiring at scale.
About the role
Key Responsibilities
- Collaborate with recruiting, sourcing, ops, and coordination teams to map current workflows and identify high‑impact AI opportunities.
- Design, prototype, and ship end‑to‑end ML/NLP solutions that automate candidate sourcing, screening, and engagement.
- Own the full lifecycle of AI products: data ingestion, model training, validation, deployment on AWS, and continuous monitoring.
- Translate business requirements into technical specifications, ensuring solutions are scalable, maintainable, and compliant with data privacy standards.
- Mentor and guide cross‑functional teams on best practices in applied AI, model governance, and ethical considerations.
Requirements
- 10+ years of experience in applied AI/ML, with a strong track record of delivering production systems.
- Proficiency in Python, AWS services (SageMaker, Lambda, S3), and data engineering pipelines.
- Deep expertise in NLP techniques for talent data, including entity extraction, intent classification, and semantic matching.
- Experience building and scaling automation workflows that integrate with ATS and HRIS platforms.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
Skills
machine learningnatural language processingpythonaws