What are the responsibilities and job description for the IT- Product Owner: III (Senior) position at LogiX-Guru?
Our major banking client in Columbus, OH is seeking a well qualified MLOps Product Owner to join their team.
Location : Hybrid Columbus, OH (3 days in office per week)
Employment Type : 90-Day Contract-to-Hire
About the Team & Our MLOps Mission
Our Machine Learning Operations (MLOps) team is at the ground level of maturity, and we are on an accelerated path to scale and refine our MLOps capabilities using cutting-edge open-source tools and best practices. This is a unique opportunity to help shape and drive the foundation of enterprise-level MLOps in a high-impact environment.
We have structured our MLOps team into five distinct functional areas, each playing a critical role in productionizing machine learning and analytics solutions :
1. Product Team (This Role) : Responsible for intake, backlog management, requirement gathering, and defining success criteria for ML projects. Works closely with data scientists, business users, and engineering teams to ensure clear scope and execution plans.
2. Solution Engineering Team : Converts requirements into architectural diagrams, technical designs, and solution strategies that align with our cloud and enterprise infrastructure.
3. Implementation Engineering Team : Builds and deploys the solutions based on designs from the solution engineering team. Develops and automates MLOps pipelines, ensuring scalable, robust model deployments.
4. Production Support Team : Monitors, troubleshoots, and resolves model and pipeline issues in production, handling incident management and after-hours support.
5. Platform Engineering Team : Manages and enhances the MLOps platform, ensuring smooth integration of open-source tools, governance, security, and cloud infrastructure.
The "Technical Product Owner - MLOps" will join the Product Team, working at the intersection of data science, engineering, and business operations to drive clarity, efficiency, and technical excellence in our MLOps initiatives.
About the Role
We are seeking a highly technical engineer for the role of Technical Product Owner Machine Learning Operations (MLOps) in a 90-day contract-to-hire capacity.
This is not a traditional business-focused product owner role we need someone with deep technical experience in MLOps, cloud infrastructure, DevOps, and CI / CD pipelines. While formal product management experience is a plus, we prefer engineers with strong technical foundations who are eager to step into a product leadership role. If you are a product owner with very deep relevant (see more below) technical expertise, we are open to having a conversation. In either case, you need to be able to articulate your deep experience in the form of responses to screening questions. I expect detailed responses instead of 1-2 lines for each question.
This role is ideal for :
- Experienced MLOps engineers, DevOps engineers, or ML engineers looking to transition into technical product management.
- Current product owners with strong MLOps and DevOps expertise.
The first 30 days include structured onboarding and refresher training to align with our internal frameworks, DevOps / MLOps best practices, and enterprise expectations. This is not entry-level training, but a targeted upskilling for engineers transitioning into product management. There will be an assessment test after 30-days to ensure the right fit.
Key Responsibilities
1. Transition & Structured Onboarding (First 30 Days).
Participate in structured onboarding to align with :
Complete targeted refresher training on :
Begin owning backlog, conduct discovery sessions and start owning the requirement gathering responsibilities from Week 1 while completing technical refreshers.
2. Product Ownership & Backlog Management
3. Solution Engineering & Implementation Collaboration
Collaborate with :
4. Governance, Monitoring & Incident Management
Qualifications & Required Experience
Either :
Deep technical expertise in the following. We expect you to be able to write code (primarily Python, Terraform) when necessary.
Boards (Epics, Features, Stories, Tasks).
Why Join Us?
Work on cutting-edge AI / ML deployments across marketing, risk, and financial o
