Senior MLOps Engineer

fundamental • Israel

Relocation

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AI Summary

Join Fundamental’s AI research lab to design and build scalable MLOps infrastructure for enterprise decision-making. Develop model serving, CI/CD pipelines, and data pipelines while optimizing GPU usage and ensuring high reliability. Requires 5+ years of MLOps/DevOps experience with Kubernetes, PyTorch/TensorFlow, and observability tools.

Key Highlights

Build and scale MLOps infrastructure for enterprise AI models with ultra-low latency and high throughput

Design and maintain model serving, data pipelines, and feature stores with Kubernetes and cloud platforms

Ensure reliability through A/B testing, canary releases, and robust monitoring with Prometheus/Grafana

Key Responsibilities

Develop and manage scalable automated machine learning pipelines, CI/CD workflows, and orchestration frameworks

Design and implement model serving infrastructure (TorchServe, TensorFlow Serving, Triton) for high scalability and low-latency inference

Ensure seamless model deployment via A/B testing, canary releases, and rollback capabilities while optimizing GPU usage and autoscaling

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Technical Skills Required

Kubernetes Python PyTorch/TensorFlow

Benefits & Perks

Competitive compensation with salary and equity

Comprehensive health coverage for you and dependents

Paid parental leave for all new parents

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Nice to Have

Experience with MLflow, Kubeflow, or similar ML workflow tooling

Familiarity with FastAPI and backend application development

Exposure to SRE practices or cloud security certifications

Job Description

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.

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