Posting record
Open 11+ days
- Fundamental's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Fundamental, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat it asks of you
- 5+ years of experience
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Fundamental
Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
Key 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
Must have
- 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
Nice to have
- Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
- Experience with FastAPI and Backend applications
- Familiarity with data platforms like Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
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
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