Job Overview
Location
Europe
Job Type
Full-time
Category
Software Engineering
Date Posted
July 2, 2026
Full Job Description
đź“‹ Description
- • Lead and mentor a team of MLOps engineers, fostering technical growth and a culture of operational excellence
- • Define and drive the MLOps roadmap, aligning infrastructure capabilities with Research, Engineering and product objectives
- • Establish best practices, standards, and processes for ML infrastructure, deployment, and operations
- • Own technical decision-making for ML infrastructure architecture and tooling choices
- • Architect and oversee scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks
- • Drive the design and implementation of robust model serving infrastructure using platforms like Triton, TorchServe, TensorFlow Serving, and KServe
- • Define inference architecture strategy optimized for ultra-low latency and high throughput
- • Design and maintain feature stores, robust data pipelines, and scalable storage solutions to efficiently handle large volumes of data
- • Collaborate with research teams to bridge the gap between experimentation and production
- • Define logging, alerting, and monitoring strategy to track model performance, drift, and system reliability
🎯 Requirements
- • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- • 7+ years of experience in MLOps, with 3+ 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
🏖️ 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
Skills & Technologies
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About Fundamental
Fundamental is a company focused on providing innovative solutions and services. They aim to empower businesses by leveraging cutting-edge technology and expert insights. Their offerings span various sectors, addressing complex challenges with tailored approaches. The company is committed to driving growth and efficiency for its clients through a blend of strategic planning and practical execution. With a strong emphasis on research and development, Fundamental continuously seeks to advance its capabilities and deliver value-added services. Their client-centric model ensures that solutions are aligned with specific business objectives, fostering long-term partnerships and mutual success. Fundamental strives to be a reliable partner in navigating the evolving business landscape.
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