Machine learning engineer – cloud | mlops | genai (relocation provided)

Join to apply for the Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided) role at Wypoon Technologies.

Are you a Machine Learning Engineer with a passion for building real-world, production-grade AI solutions in the cloud? At Wypoon Technologies, we’re expanding our network of skilled ML Engineers to support leading clients across the Netherlands. From predictive analytics to real-time recommendations and Generative AI use cases, you’ll work on meaningful projects that scale. Whether your focus lies in model development, MLOps, or cloud-native architecture, we’re looking for engineers who can bring machine learning to life in enterprise environments.

Why Join Us?

• Impactful Work: Shape the future of our clients’ digital landscapes.
• Innovative Environment: Collaborate within a supportive team that values learning and growth.
• State-of-the-art technology: Access the latest tools and platforms.
• Global Opportunities: Dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free!

• 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

• At least 5 years of professional experience.
• Advanced proficiency in English (minimum B2 level in speaking, writing, listening, and reading).
• A bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP
• Familiarity with ML pipeline orchestration and CI/CD practices
• Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations
• Familiarity with HuggingFace Transformers, LangChain, or RAG architectures
• Exposure to Responsible AI, explainability, or ethical ML practices
• Background in MLOps tooling: MLflow, DVC, Tecton, Feast
• Experience with data labeling tools or ML observability platforms
• Solid understanding of software engineering principles and cloud infrastructure
• Experience working with APIs, data lakes, and distributed systems is a plus
• Comfortable in Agile environments and cross-functional teams

• Competitive Compensation: Salary tailored to your skills and experience.
• Generous Time Off: 25 paid vacation days (based on a 40-hour work week).
• Job Security: A direct and permanent contract from day one!
• Relocation Support: A relocation and travel budget to ease your transition.
• Tax Benefits: Eligibility for the 30% ruling.
• Travel Reimbursement: We've got your daily commute covered.
• Top-Notch Equipment: A high-quality device to ensure you work efficiently.
• Professional Development: Financial support for certifications, technical training, and language courses—because we value your long-term career growth.
• Family: Visa sponsorship for your partner and children under 18.
• Temporary Accommodation: Stay in temporary housing while we help you find your permanent home.
• Comprehensive Relocation Assistance: Extensive support to help you settle in smoothly.
• Community & Fun: Enjoy team events and connect with developers from around the globe!

Apply now to be part of our transformative journey!