Machine learning engineer

Machine learning engineer

Vollzeit 59400 - 72600 € / Jahr (geschätzt) Homeoffice (teilweise)
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Auf einen Blick

  • Aufgaben: Entwickle und pflege ML-Modelle und arbeite an innovativen Projekten im Gesundheitsbereich.
  • Unternehmen: Liom, ein Schweizer Deep-Tech Unternehmen mit Fokus auf Gesundheitstechnologie.
  • Vorteile: Flexibles Arbeitsumfeld, Work-Life-Balance und die Möglichkeit, einen echten Unterschied zu machen.
  • Weitere Informationen: Vielfältiges Team mit 18 Nationalitäten und großartigen Entwicklungsmöglichkeiten.
  • Warum dieser Job: Nutze deine Fähigkeiten in einem dynamischen Team, um das Wohlbefinden der Menschen zu verbessern.
  • Qualifikationen: Mindestens 2 Jahre Erfahrung in Machine Learning und Kenntnisse in Python und MLOps.

Das prognostizierte Gehalt liegt zwischen 59400 - 72600 € pro Jahr.

About Liom LIOM is a Swiss deep-tech company building the ultimate health wearable for conscious living - a continuous, needle-free window into your body's chemistry, starting with glucose.

Through this, we empower users to make informed lifestyle choices and live healthier and longer lives.

Developed in Switzerland over 8+ years by 50+ scientists, validated across 130+ subjects, and protected by 23 patent families.

Your mission We are looking for a talented Machine Learning Engineer with at least two years of industry experience in the tech sector.

The ideal candidate is an expert in modern python and MLOps tools and practices, and has experience in translating research code into production.

If you have experience developing and deploying ML models using Py Torch/Jax/Tensor Flow, are familiar with tools like Vertex AI and are excited about applying your skills to a challenging problem, we want to hear from you!

As a Machine Learning Engineer you will Develop, and maintain our model, training, and evaluation code and ensure correctness, reproducibility, performance, and maintainability.

Collaborate with researchers and engineers to design, develop, and deploy full ML pipelines both in the cloud and on compute-constrained devices.

Use cloud-based ML platforms such as Vertex AI to streamline and scale ML workflows.

Employ MLOps tools for experiment tracking, model evaluation and selection, deployment and monitoring.

A passion for staying at the forefront of machine learning and software engineering and embracing the latest tools and libraries.

Your profile Required qualifications: At least 2 years of experience in a Machine Learning Engineering role.

Proficiency in Python, with a strong track record of writing correct, reproducible and maintainable code.

Proficiency in at least one of the main deep learning frameworks Py Torch/Jax/Tensor Flow.

Proficiency with MLOps tools for experimental tracking and monitoring, as well as for Hyperparameter Tuning Familiarity with cloud-based ML platforms, such as Vertex AI.

The following qualifications are a plus: Experience with distributed training using Kubernetes/Ray.

Experience with pipeline orchestration tools such as Air Flow, Prefect or Dagster.

Experience with model quantization and pruning.

Experience in a compiled or language such as C++ or Rust.

IMPORTANT: We cannot sponsor work permits for non-EU / EFTA nationals for this role.

Applications that do not fulfill this criteria will be automatically rejected.

We offer Work/Life Balance Working at a growing health-tech start-up is demanding and our goals are ambitious, which is why our team puts a strong emphasis on work-life balance.

It isn’t about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.

Therefore, we offer flexibility when it comes to presence in the office ensuring the right balance between impact at work and your private life.

Values and Mission are important at Liom, as the ultimate goal is to improve people's well-being and we aspire to live that.

We will have the chance to discuss values and mission during the interview process.

Diversity With 18 nationalities in the company, we strive to build a diverse and exciting environment.

We care about diversity and equal opportunities.

Mentorship

Machine learning engineer Arbeitgeber: Liom Health AG

Liom ist ein innovatives Schweizer Health-Tech-Startup, das sich der Revolutionierung des personalisierten Gesundheitsmonitorings widmet. Mit einem starken Fokus auf Work-Life-Balance und einer flexiblen Arbeitsumgebung bietet Liom seinen Mitarbeitern die Möglichkeit, in einem dynamischen Team zu wachsen und sich weiterzuentwickeln. Die Unternehmenskultur fördert Vielfalt und Mentorship, was eine spannende und unterstützende Atmosphäre schafft, in der jeder die Chance hat, seine Ideen einzubringen und neue Perspektiven zu gewinnen.

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Kontaktdaten:

Liom Health AG Recruiting-Team

Wir glauben, dass du diese Fähigkeiten brauchst, um Machine learning engineer mit Bravour zu bestehen

Python
MLOps
PyTorch
Jax
TensorFlow
Cloud-basierte ML-Plattformen
VertexAI