MLOps Team Lead

Highlights

• Lead MLOps for NEXUS, the world's most powerful Large Tabular Model.
• Build technology transforming how Fortune 100 companies make decisions.
• Help define the future of enterprise AI from the ground up.

What they offer

• 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 office locations

Ideal candidate

A seasoned MLOps leader who thrives bridging research and production. You care about operational excellence, mentorship, and building reliable ML systems from scratch in a fast-moving, mission-driven environment.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field or equivalent practical experience
• 7+ years of experience in MLOps, with 5+ years in a technical leadership role
• Strong software engineering skills in Python, with experience in Bash and/or Go
• Proven track record of building and leading high-performing MLOps or infrastructure teams
• Experience building and designing MLOps infrastructure from the ground up
• Deep experience with MLOps platforms (MLflow, WandB, etc.) and frameworks (PyTorch, TensorFlow, etc.)
• Deep experience with model serving frameworks (Triton, TorchServe, TensorFlow Serving, KServe) for high scalability and low latency inference
• Experience building and managing data pipelines to support both model training and inference
• Good experience with Kubernetes on a major cloud provider (AWS, GCP, or Azure) and with infrastructure as code (Terraform, Helm, GitOps)
• Proficient with observability and monitoring tools (Prometheus, Grafana, Datadog, OpenTelemetry)
• Excellent communication skills with ability to translate between research and production contexts