MLOps Engineer
Fundamental · Remote · Europe · Israel (remote) ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- MLOps Engineer
- Senior level (5+ years)
- Fully remote
- Python, Go, Kubernetes
- Visa sponsorship available
Join Fundamental, an AI research lab backed by $275m in funding, to support the development of NEXUS, a Large Tabular Model for enterprise data. You will tackle technical challenges in foundation model development, creating technology that helps Fortune 100 companies make better decisions.
As an MLOps Engineer, you will design and maintain the infrastructure required for training and serving these models. Your work will ensure high throughput, low latency, and reliable deployment of AI systems at scale.
What you'll do
- Develop and manage automated ML pipelines and CI/CD workflows
- Design robust model serving infrastructure using TorchServe or Triton
- Build scalable inference architectures for low latency and high throughput
- Implement A/B testing, canary releases, and rollback capabilities
- Create logging, alerting, and monitoring solutions for model reliability
- Optimize GPU usage and enable autoscaling for resource efficiency
- Maintain feature stores and data pipelines for large volume handling
What you'll need
- Bachelor’s or Master’s in Computer Science or related field
- 5+ years experience in MLOps or DevOps roles
- Proficiency with MLOps platforms like MLflow and WandB
- Experience with model serving frameworks such as KServe or TensorFlow Serving
- Strong skills in Python, Bash, and Go for scalable code
- Experience with Kubernetes on AWS, GCP, or Azure
- Knowledge of infrastructure as code using Terraform or Helm
- Background in AI/ML systems security and model governance
Nice to have
- Experience with ML workflow tools like Kubeflow
- Knowledge of FastAPI and backend application development
- Familiarity with data platforms such as Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
Stack
- Python
- Go
- Bash
- Kubernetes
- Terraform
- Helm
- PyTorch
- TensorFlow
- TorchServe
- Triton
- MLflow
- WandB
- Prometheus
- Grafana
- Datadog
What you get
- Competitive compensation package with equity
- Comprehensive health coverage for employees and dependents
- Paid parental leave for all new parents
- Relocation support for office-based team members
- Mission-driven culture valuing diversity and ownership