remote
Machine Learning Data Ops, Manager I, MLD Ops, GO-AI - Amazon.com
ML Engineer
Lead a high‑performing team of 20‑25 in Machine Learning Data Ops, driving end‑to‑end ML pipeline excellence on AWS using Python, while optimizing processes and fostering a culture of customer obsession.
About the role
Key Responsibilities
- Oversee daily operations of a 20‑25 member ML Data Ops team, ensuring high‑quality throughput and alignment with long‑term process targets.
- Design, implement, and maintain scalable ML pipelines on AWS, leveraging Python and related tooling.
- Drive continuous improvement initiatives, applying process optimization techniques to increase efficiency and reduce cycle times.
- Mentor and develop team members, fostering a culture of customer obsession, high performance, and collaboration.
- Collaborate cross‑functionally with data scientists, product managers, and infrastructure teams to deliver reliable ML solutions.
Requirements
- Graduate degree or equivalent experience in Computer Science, Engineering, or related field.
- Proven experience managing technical teams in a fast‑paced environment.
- Strong background in Machine Learning operations, pipeline development, and AWS services.
- Excellent communication, problem‑solving, and leadership skills.
Skills
machine learningawspython