We are looking for an experienced We are looking for an experienced ML Engineer / MLOps Engineer to join a cloud-native project for a German customer.
The role is strongly engineering-focused and involves building production-grade ML infrastructure, working with GPU workloads, ML pipelines, LLMs and large-scale data processing.
📍 Location: Germany
🗣 German: B2+ - must-have
🗣 English: B1+
📅 Estimated start: September 30, 2026
- Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2)
- Train ML models on GPUs and manage GPU resources within Kubernetes
- Fine-tune transformers and LLMs
- Track experiments and models using MLflow
- Build classical ML models with XGBoost and CatBoost
- Process large datasets using SQL Server and DuckDB
- Develop Python-based pipelines, integrations and tooling
- Maintain high engineering standards through testing, clean code and CI/CD with GitLab CI
- Work in a secure, zero-trust / secure-by-default environment with network policies and restrictive container permissions
RequirementsWhat we're looking for
- Hands-on experience with Kubeflow Pipelines, ideally KFP v2
- Experience training models on GPUs
- Practical experience with LLM / transformer fine-tuning
- Experience with MLflow
- Strong knowledge of XGBoost, CatBoost or similar boosting models
- Strong Python engineering skills
- Solid SQL experience and understanding of large-scale data processing
- Experience with CI/CD, clean code and automated testing
- Production-grade ML/MLOps experience beyond notebook-based experimentation
- Experience working in enterprise or regulated cloud-native environments
- Experience with LLM pre-training, beyond fine-tuning
- GPU orchestration in Kubernetes
- Experience with zero-trust environments, network policies and restrictive container rights
- Knowledge of DuckDB
- Experience with modern Python tooling such as uv
Previous healthcare or billing domain experience is not required, but you should be comfortable quickly getting up to speed with a new domain.
Skills Required
- B2+ German proficiency
- B1+ English proficiency
- Hands-on experience with Kubeflow Pipelines, ideally KFP v2
- Experience training machine learning models on GPUs
- Practical experience fine-tuning LLMs and transformers
- Experience with MLflow
- Strong knowledge of XGBoost, CatBoost, or similar boosting models
- Strong Python engineering skills
- Solid SQL experience and understanding of large-scale data processing
- Experience with CI/CD, clean code, and automated testing
- Production-grade ML/MLOps experience beyond notebook-based experimentation
- Experience in enterprise or regulated cloud-native environments
- Experience with LLM pre-training
- GPU orchestration in Kubernetes
- Experience with zero-trust environments, network policies, and restrictive container permissions
- Knowledge of DuckDB
- Experience with modern Python tooling such as uv
What We Do
Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies. Based on proprietary pioneering business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA™) and measurable SLAs for software engineering, Intetics helps innovative organizations capitalize on global talent with our in-depth engineering expertise based on our Predictive Software Engineering framework. Intetics core strength lays in design of software products in conditions of incomplete specifications. We have extensive industry expertise in Education, Healthcare, Logistics, Life Sciences, Finance, Insurance, Communications, and custom ERP, CRM, Intelligent Automation and Geospatial solutions. Our advanced software engineering background and outstanding quality management platform, along with an unparalleled methodology for talent acquisition, team building and talent retention, guarantee that our clients receive exceptional results for their projects. At Intetics, our outcomes do not just meet clients expectations, they have been exceeding them for a quarter of a century. Intetics operates from multiple offices in the USA, Europe and Latin America, hiring the best talent available worldwide. Intetics is ISO 9001 (quality) and ISO 27001 (security) certified and a Microsoft Gold, Amazon, and UiPath Silver partner. The company’s innovation and growth achievements are reflected in winning prestigious titles and awards, including Inc5000, Software 500, CRN 100, American Business, Deloitte Fast 50, European IT Excellence, Best European BPO, Stevie People’s Choice, Clutch and ACQ5 Awards, IAOP Global Outsourcing 100 and Fortune Innovative 300 lists.
