onsite
Associate AI Product Operations Manager - agora
Systems Engineer
Lead AI product operations, driving data pipelines, model deployment, and cross‑functional collaboration to ensure high‑quality AI solutions. Leverage ML ops, analytics, and agile practices to optimize product performance and stakeholder satisfaction.
About the role
Key Responsibilities
- Design and maintain end‑to‑end data pipelines for AI model training and inference, ensuring data quality and compliance.
- Collaborate with data scientists, engineers, and product teams to define feature requirements and prioritize AI initiatives.
- Implement and monitor ML Ops workflows, including version control, automated testing, and continuous deployment.
- Analyze product metrics, user feedback, and model performance to drive iterative improvements.
- Coordinate cross‑functional sprint planning, stand‑ups, and retrospectives using Agile methodologies.
Requirements
- 3+ years of experience in AI or data product operations, with a strong understanding of ML lifecycle.
- Proficiency in SQL and Python for data manipulation and automation.
- Hands‑on experience with ML Ops tools (e.g., MLflow, Airflow, Docker) and cloud platforms (AWS, GCP, or Azure).
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
- Strong analytical mindset and problem‑solving abilities.