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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 backend engineering team.
The primary responsibilities of this team include:
- 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.
- Operate and troubleshoot the services we maintain in Kubernetes clusters
- Working directly with customers in workshops or escalations.
- Lead your own projects with high autonomy through technical designs, implementation, and release to customers
- 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
- Master’s in Computer Science (or related field) or equivalent professional experience
- 3+ years of production experience writing Python applications
- CKAD level understanding of Kubernetes (certification is not necessary)
- Basic understanding of Linux System Administration
- Experience with database systems such as PostgreSQL, MongoDB or ElasticSearch
- Basic understanding of OpenTelemetry Tracing, Logs and Metrics
- Ability to communicate clearly verbally and in writing in English on technical issues
Candidates can distinguish themselves with:
- Publicly reviewable contributions to relevant open source projects
- CKA or CKAD certifications
- Prior experience with operation or monitoring of predictive or generative models
- Production experience writing Go applications
- Prior experience developing for the AWS, Azure, and/or Google Cloud platforms
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.
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