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Jobs/ML Engineer Role/Neko Health - ML Ops
Neko Health

Neko Health - ML Ops

Remote - Germany1mo ago
RemoteEMEACloud ComputingArtificial IntelligenceML EngineerPythonKubernetesLearning & DevelopmentTerraform.NET

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Requirements

• Strong programming skills in Python with solid understanding of Machine Learning concepts. • Experience building end-to-end production ML systems and platformization initiatives. • Knowledge of PyTorch, Kubernetes, Terraform, distributed systems, and ML orchestration tools. • Advanced understanding of production Machine Learning tools and best practices. • Ability to operate within complex ecosystems spanning medical domain, regulatory requirements, hardware, firmware, and sensor data. • Strong judgment navigating evolving tooling landscapes and applying the right solutions to real-world problems. • Distributed and Remote First • Neko Health has nearly 100 full-time engineers working across Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning, Optronics Research, and Software Engineering. • Our technology stack includes React, TypeScript, C++, Python, and C# with ASP.NET Core. We use Azure Cosmos DB and Azure Active Directory for authentication. • We are a Remote-First company, though some hardware and firmware roles require occasional access to physical devices. Software engineers in Stockholm typically work from the office once every one to two weeks. Teams meet in person several times per year for collaboration and team connection. • Organization and Way of Working • Engineering teams are structured into small, cross-functional groups aligned to specific goals. Some teams are long-lived while others are formed for targeted initiatives. Teams aim to operate autonomously while collaborating across the organization when necessary. • Goals are tracked quarterly and annually, with bi-weekly organization-wide progress reviews. Most teams operate on a bi-weekly planning cadence, though each group has flexibility in how they work. • All teams present progress, learnings, and experiments during bi-weekly engineering demos, covering topics ranging from hardware and calibration challenges to infrastructure improvements, backend capabilities, and data innovations that enhance clinical productivity. • Neko Health supports a flexible workplace that prioritizes work-life balance. We are deeply committed to our mission while believing meaningful impact should not require sacrificing personal wellbeing. • We use a simplified internal title framework that prioritises clarity over hierarchy, so internal titles may differ from market‑facing role titles. Scope, impact and level of the role are fully aligned and will be clearly discussed throughout the process. • Candidates progress from application and structured screening through thoughtfully designed interviews culminating in a formal offer and final pre-employment checks before joining the team. • Equal Opportunity & Inclusion Statement • Neko Health is committed to inclusive hiring and member-first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.

Responsibilities

• Build reusable and scalable components supporting Machine Learning operations and platformization. • Own and maintain Machine Learning systems and platform services. • Establish and promote best practices across experiment tracking, model lifecycle, and evaluation. • Design and maintain production inference workflows delivering reliable and timely outputs. • Collaborate cross-functionally with Clinical Researchers, Data Scientists, ML Engineers, and Data Engineers. • Ensure ML systems and workflows align with healthcare and data privacy requirements.

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