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MLOps Engineer

Fundamental· Engineering
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RemoteFull-timePosted 3mo ago

About the role

Fundamental is an AI research lab building enterprise decision-making models and infrastructure. The role focuses on end-to-end MLOps, scalable pipelines, model serving, deployment, monitoring, and efficient resource management in a remote European/Israeli setting.

Responsibilities

  • Develop and manage scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks
  • Design and implement robust model serving infrastructure using platforms like TorchServe, TensorFlow, Triton etc.
  • Develop scalable inference architectures optimized, with ultra-low latency and high throughput
  • Ensure seamless model deployment by implementing A/B testing, canary releases, and rollback capabilities
  • Develop logging, alerting, and monitoring solutions to track model development, and reliability
  • Improve GPU usage, enable autoscaling, and streamline resource allocation to boost efficiency
  • Design, implement, and maintain feature stores, robust data pipelines, and scalable storage solutions to efficiently handle large volumes of data

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • 5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms (MLflow, WandB etc..) and frameworks (PyTorch, TensorFlow etc..)
  • Experience building and designing MLOps infrastructure from the ground up
  • Experience with model serving frameworks (TorchServe, TensorFlow Serving, Triton, KServe etc..) for high scalability and low latency inference
  • Experience in building and managing data pipelines to support both model training and inference
  • Experience with Kubernetes on a major cloud provider (AWS, GCP, or Azure) and with infrastructure as code (e.g. Terraform, Helm, GitOps)
  • Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code
  • Experience in AI/ML systems security, compliance, and model governance
  • Proficient with observability and monitoring tools, such as Prometheus, Grafana, Datadog, and OpenTelemetry

Skills

Required:MLOps platformsModel serving frameworksData pipelinesKubernetesInfrastructure as codeProgrammingObservability

Benefits

  • Competitive compensation with salary and equity
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Last updated Sep 22, 2026. Interested? Apply on the company site.

About Fundamental

The Power to Predict

The Power to Predict. Our most powerful Large Tabular Model. Pre-trained on billions of real-world enterprise tables, our model knows which patterns drive which outcomes.

NEXUSOur World’s Most Powerful Large Tabular ModelPre-trained on billions of real-world enterprise tablesEnterprise AIData AnalyticsTime SeriesConfidential ComputingCloud
Company profileWebsite

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