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Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
As a member of the Monitoring and Governance (MLOps) team, you’ll be directly
responsible for the systems that enable customers to safely operate and monitor
predictive and generative AI models spanning many different use cases. That includes detecting drift or accuracy issues in predictive models as well as providing mechanisms for monitoring and reacting to hallucinations in generative models. The overall goal is to reduce risk for our customers and help make their AI use cases successful.
We are looking for engineers who are willing to continuously learn, challenge themselves, and apply their knowledge to improve DataRobot’s MLOps platform.
In order to keep up with the demand for new features in our product, we are looking to grow our frontend engineering team.
In order to keep up with the demand for new features in our product, we are looking to grow our frontend engineering team.
Key responsibilities:
Required skills and experience:
DataRobot Operating Principles:
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
As a member of the Monitoring and Governance (MLOps) team, you’ll be directly
responsible for the systems that enable customers to safely operate and monitor
predictive and generative AI models spanning many different use cases. That includes detecting drift or accuracy issues in predictive models as well as providing mechanisms for monitoring and reacting to hallucinations in generative models. The overall goal is to reduce risk for our customers and help make their AI use cases successful.
We are looking for engineers who are willing to continuously learn, challenge themselves, and apply their knowledge to improve DataRobot’s MLOps platform.
In order to keep up with the demand for new features in our product, we are looking to grow our frontend engineering team.
In order to keep up with the demand for new features in our product, we are looking to grow our frontend engineering team.
Key responsibilities:
- Adapting our MLOps offering to deal with new technical challenges in the predictive and particularly generative AI landscape
- Seek, give, and receive critical feedback in a constructive manner, both formally and informally through code reviews, pair programming, and other ad-hoc collaboration
- Maintaining and improving our existing tools, APIs, integrations and tests.
- Participate in project work with other engineers, planning, implementing and reporting on progress on milestones you own.
- Collaborate closely with product managers to distill requirements into technical tasks and drive technical feedback on potential solutions
- Operate a 24/7 on-call rotation where team members take turns dealing with operational incidents and key customer escalations
Required skills and experience:
- 1-2 years of experience writing React Javascript applications
- Writing unit, integration and end-to-end tests in Jest and Cypress and understanding when each type is needed
- Ability to communicate clearly verbally and in writing in English on technical issues
- Publicly reviewable contributions to relevant open source projects
- Understanding of OpenTelemetry Tracing, Logs and Metrics
- Experience with or desire to learn Kubernetes and DevOps
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Key Skills
Ranked by relevance
ai
mlops
javascript
kubernetes
devops
react
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- Posted
- Nov 18, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Lviv
- Company
- DataRobot
Industries
Software Development
Categories
Engineering
Information Technology
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