Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided)
Wypoon Technologies
Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided)
Wypoon Technologies is seeking Machine Learning Engineers to build production-grade AI solutions in cloud environments for leading clients in the Netherlands. The role involves designing ML pipelines, deploying models, and contributing to MLOps practices. Requires 5+ years experience, Python proficiency, cloud platform expertise, and experience with GenAI/LLMs.
Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided)
Wypoon Technologies is seeking Machine Learning Engineers to build production-grade AI solutions in cloud environments for leading clients in the Netherlands. The role involves designing ML pipelines, deploying models, and contributing to MLOps practices. Requires 5+ years experience, Python proficiency, cloud platform expertise, and experience with GenAI/LLMs.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Designing and implementing machine learning pipelines in cloud environments (Azure, AWS, or GCP)
- Developing and deploying models for classification, regression, time series, recommendation, or NLP use cases
- Working with structured and unstructured data, and applying feature engineering, model tuning, and evaluation techniques
- Packaging and deploying models using containerization (e.g., Docker, Kubernetes)
- Automating and monitoring ML workflows using MLflow, Airflow, or cloud-native tools (SageMaker, Vertex AI, Azure ML)
- Collaborating with data scientists, engineers, and product teams to translate business problems into ML solutions
- Contributing to MLOps practices: model versioning, CI/CD for ML, performance monitoring, and rollback strategies