Demo

Technical Product Owner (MLOps)

Agility Partners
Columbus, OH Full Time
POSTED ON 2/17/2025
AVAILABLE BEFORE 5/15/2025

Agility Partners is seeking a qualified Technical Product Owner – MLOps to fill an open position with one of our banking clients. This is a high-impact role at the intersection of data science, engineering, and business operations, supporting the maturity and scalability of enterprise-level MLOps. The selected candidate will play a key role in defining requirements, managing backlogs, and ensuring successful implementation of machine learning solutions. This is an exciting opportunity for an experienced MLOps engineer looking to transition into product management or a technical product owner with deep MLOps expertise. The role offers structured onboarding, high visibility, and hands-on involvement in AI / ML deployments.

Responsibilities :

  • Own and manage the backlog in Azure DevOps, ensuring clear prioritization and alignment with business and engineering needs.
  • Work closely with data scientists, engineers, and business stakeholders to define detailed requirements for ML models and analytics pipelines.
  • Collaborate with solution architects, cyber teams, and engineers to translate requirements into scalable MLOps solutions.
  • Ensure compliance with Model Risk Management (MRM) requirements, governance standards, and incident tracking best practices.

Qualifications :

  • 7 years of hands-on experience in MLOps, ML Engineering, DevOps, or Data Engineering in an ML-focused environment.
  • Strong expertise in cloud-native ML infrastructure (AWS, S3, Lambda, EKS, EventBridge, Kafka, etc.).
  • Proficiency in CI / CD pipelines, Terraform, Kubernetes, Docker, and DevOps automation.
  • Experience with open-source MLOps frameworks such as MLflow, Kubeflow, Airflow, or Great Expectations.
  • Expertise in Amazon SageMaker (Feature Store, Model Registry, Pipelines, Monitoring).
  • Strong communication and collaboration skills to work effectively with business and technical teams.
  • Reasons to Love It :

  • Be a key player in scaling an enterprise-wide MLOps initiative with cutting-edge AI / ML infrastructure.
  • Hands-on role with direct exposure to cloud-native technologies and open-source MLOps tools.
  • Unique opportunity for engineers to transition into product management with structured onboarding and training.
  • Work on high-impact AI / ML deployments across marketing, risk, and financial optimization.
  • Hybrid work model with three days in the Columbus, OH office per week.
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