Dein persönlicher KI-Karriere-Agent
Developing ML pipelines for cloud and compute-constrained health wearables. Expertise in Python, MLOps, and PyTorch/Jax/TensorFlow required. Flexible office presence, mentorship, and career growth.
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Anforderungen
- At least two years of industry experience in tech sector
- Expertise in modern Python and MLOps tools/practices
- Experience translating research code to production
- Experience developing/deploying ML models with PyTorch/Jax/TensorFlow
- Familiarity with VertexAI
- Excitement about applying skills to challenging problems
- At least 2 years of experience in Machine Learning Engineering role
- Proficiency in Python
- Strong track record of correct, reproducible, maintainable code
- Proficiency in PyTorch, Jax, or TensorFlow
- Proficiency with MLOps tools for tracking and monitoring
- Proficiency with MLOps tools for Hyperparameter Tuning
- Familiarity with cloud-based ML platforms
- Experience with distributed training using Kubernetes/Ray
- Experience with pipeline orchestration tools (AirFlow, Prefect, Dagster)
- Experience with model quantization and pruning
- Experience in a compiled language (C++ or Rust)
- Must be EU/EFTA national or eligible for work permit sponsorship
Aufgaben
- Develop and maintain model, training, and evaluation code
- Ensure correctness, reproducibility, performance, and maintainability of code
- Collaborate with researchers and engineers to design ML pipelines
- Develop ML pipelines for cloud and compute-constrained devices
- Deploy ML pipelines for cloud and compute-constrained devices
- Use VertexAI to streamline ML workflows
- Use VertexAI to scale ML workflows
- Employ MLOps tools for experiment tracking
- Employ MLOps tools for model evaluation and selection
- Employ MLOps tools for deployment
- Employ MLOps tools for monitoring
- Stay at the forefront of machine learning
- Stay at the forefront of software engineering
- Embrace the latest tools and libraries
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Work-life balance
- Flexible office presence
- Diversity and equal opportunities
- Mentorship
- Career growth
- Knowledge sharing
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Liom erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei LiomÜber das Unternehmen
Liom is a Swiss health-tech startup dedicated to revolutionizing personalized health monitoring through non-invasive glucose monitoring wearables.
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