Found Description
Key Responsibilities
- Lead and mentor a cross‑functional team of Applied AI/ML Engineers and Data Scientists, ensuring high‑quality deliverables and timely execution.
- Architect and oversee the deployment of machine learning models into production data systems, collaborating with infrastructure and DevOps teams.
- Drive continuous improvement of data pipelines, model monitoring, and performance optimization across the organization.
- Partner with senior and principal‑level contributors to shape technical strategy, research emerging AI/ML techniques, and translate business needs into scalable solutions.
- Champion best practices in code quality, testing, and documentation for AI/ML workflows.
Requirements
- 5+ years of experience in applied AI/ML engineering or data science, with a strong track record of productionizing models.
- Proficiency in Python, SQL, and cloud platforms (AWS, Azure, or GCP) for build...
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