5 дней назад
ML/MLOps Engineer in Germany (AI)
4 100 - 6 475€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML/MLOps Engineer in Germany (AI) (Kubeflow/Python): Building a cloud-native MLOps platform for healthcare machine learning and AI workloads with an accent on GPU-based model training, LLM fine-tuning, and secure Kubernetes infrastructure. Focus on orchestrating scalable ML pipelines, managing experiments and models with MLflow, processing large datasets, and implementing zero-trust engineering practices.
Location: Germany; fully remote, office-based, or hybrid work is available.
Salary: €4,100–€6,475 gross per month, depending on experience, location, and professional growth.
Company
is a software engineering and consulting company delivering digital, data-driven, and operational solutions for healthcare and other industries.
What you will do
- Build and orchestrate ML pipelines with Kubeflow Pipelines KFP v2.
- Train models on GPUs and manage GPU resources in Kubernetes.
- Fine-tune transformers and LLMs, and track experiments and models with MLflow.
- Develop classic machine learning models with XGBoost and CatBoost.
- Develop Python pipelines, integrations, and tooling; work with SQL Server and DuckDB for large-scale data processing.
- Maintain code quality through testing and GitLab CI/CD while working in a zero-trust, secure-by-default environment.
Requirements
- 5+ years of experience as an MLOps Engineer or ML Engineer.
- Hands-on experience with Kubeflow Pipelines KFP v2, GPU model training, LLM or transformer fine-tuning, and MLflow.
- Experience with XGBoost or CatBoost, Python, SQL, and large-scale data processing.
- Experience in regulated or enterprise cloud-native environments, plus clean-code, testing, and CI/CD practices.
- English at Intermediate+ level or above and German at Upper-Intermediate level or above are required.
Nice to have
- LLM pre-training experience beyond fine-tuning.
- GPU orchestration in Kubernetes and experience with zero-trust environments.
- Knowledge of DuckDB and modern Python tooling such as uv.
Culture & Benefits
- Flexible choice between remote, office-based, and hybrid work.
- Professional, financial, and career development supported by mentoring and onboarding programs.
- Corporate training portal and compensation for professional certifications such as AWS and PMP.
- Private health insurance and sports activity compensation.
- Annual bonus opportunities, including up to an additional $1,000 per month for participation in company activities.
- Referral program and corporate events.
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