ML/MLOps Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ML/MLOps Engineer (Healthcare): Building and orchestrating cloud-native ML infrastructure for healthcare AI platforms with an accent on Kubeflow pipelines, LLM fine-tuning, and scalable data processing. Focus on developing secure, zero-trust ML environments, managing GPU resources in Kubernetes, and ensuring high-performance model training.
Location: Must be based in Germany (Remote, Hybrid, or Onsite options available).
Salary: €4,100–€6,475 gross per month.
Company
is a global software development company providing digital solutions and consulting services across various industries including healthcare, fintech, and retail.
What you will do
- Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2).
- Train models on GPUs and manage GPU resources within Kubernetes.
- Fine-tune transformers and LLMs while tracking experiments via MLflow.
- Develop classic ML models using XGBoost and CatBoost.
- Process large datasets using SQL Server and DuckDB in a secure, zero-trust environment.
- Ensure code quality through rigorous testing and GitLab CI/CD practices.
Requirements
- 5+ years of experience as an ML or MLOps Engineer.
- Hands-on experience with Kubeflow Pipelines (KFP v2) and MLflow.
- Deep proficiency in Python and modern engineering practices.
- Experience training models on GPUs and fine-tuning LLMs.
- Experience working in regulated or enterprise cloud-native environments.
- English level: Intermediate+ (B1+).
Nice to have
- Pre-training experience for LLMs.
- Experience with GPU orchestration in Kubernetes.
- Knowledge of zero-trust network policies and container security.
- Familiarity with DuckDB and modern Python tooling like uv.
Culture & Benefits
- Flexible work arrangements: fully remote, hybrid, or office-based.
- Private health insurance and sports activity compensation.
- Access to a corporate training portal and certification compensation (AWS, PMP, etc.).
- Mentoring and adaptation systems for professional growth.
- Active corporate life including team events and office perks.
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