MLOps Engineer
Fundamental · Europe
Frontier labonsitesenior
At a glance
Highlights
- Build foundation models that transform how Fortune 100 companies make decisions.
- Work on NEXUS, the world's most powerful Large Tabular Model for enterprise.
- Join a mission-driven lab giving businesses the Power to Predict.
What they offer
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents
- Relocation support to join the team in an office location
Ideal candidate
A builder-minded engineer with 5+ years in MLOps who loves creating reliable systems from scratch and cares about efficiency, scale, and powering real enterprise decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience as MLOps engineer or in DevOps roles
- Experience building and designing MLOps infrastructure from the ground up
- Experience with model serving frameworks for scalable low-latency inference
- Experience building and managing data pipelines for training and inference
- Experience with Kubernetes on AWS, GCP or Azure and IaC like Terraform
- Strong software engineering skills in Python, Bash and Go
- Experience in AI/ML systems security, compliance and model governance
- Proficient with observability tools like Prometheus, Grafana and Datadog
Lab profile
About Fundamental
AI research lab building NEXUS, a large tabular model for enterprise decision-making and prediction.
What they build
- NEXUS Large Tabular Model (LTM)
Known for
- Enterprise decision-making AI
- Large Tabular Models for structured records
- Trusted by Fortune 100 companies
Key facts
- $275m in funding from leading investors
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