Cloud ML Engineer | MLOps & GenAI Architect

Wypoon Technologies; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

25 vacation days

Relocation support

Tax benefits (30% ruling)

Travel reimbursement

Top-notch equipment

Professional development support

Family visa sponsorship

Temporary accommodation

Comprehensive relocation assistance

Community & fun

Job summary

Wypoon Technologies is seeking a Machine Learning Engineer to design and deploy production-grade ML solutions in cloud environments for real-world enterprise use. You will drive model development, MLOps practices, and scalable architecture across Azure, AWS, or GCP.

Ideal candidates have 5+ years of experience, strong Python and ML library skills, and a track record with NLP, time-series, or recommender systems. Relocation and visa support are offered for the Netherlands and beyond.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of professional ML engineering experience.
• Strong Python and ML library experience (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience building and deploying ML models on major cloud platforms (Azure/AWS/GCP).
• Familiarity with ML pipelines, CI/CD, and MLOps tooling.
• Experience with Generative AI use cases and LLMs.
• Familiarity with HuggingFace Transformers, LangChain, or RAG architectures.
• Exposure to Responsible AI, explainability, or ethical ML practices.
• Experience with data labeling tools or ML observability platforms.
• Comfortable working in Agile, cross-functional teams.

Responsibilities

• Design ML pipelines and deploy models in cloud environments.
• Develop and deploy models for classification, regression, time series, recommendation, and NLP use cases.
• Work with structured and unstructured data; perform feature engineering and model tuning.
• Package and deploy models using containers (Docker/Kubernetes).
• Automate and monitor ML workflows with MLflow, Airflow, or cloud-native tools (SageMaker, Vertex AI, Azure ML).
• Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions.
• Contribute to MLOps: versioning, CI/CD for ML, monitoring, rollback strategies.

Skills

Python

ML pipelines

Cloud platforms

MLOps

Generative AI

Transformers

LangChain

RAG architectures

CI/CD for ML

APIs & data lakes

Education

Bachelor's in CS/SE or related

Tools

Docker

Kubernetes

MLflow

Airflow

SageMaker/Vertex AI/Azure ML

DVC

Feast

Job description

Wypoon Technologies is seeking a Machine Learning Engineer to design and deploy production-grade ML solutions in cloud environments for real-world enterprise use. You will drive model development, MLOps practices, and scalable architecture across Azure, AWS, or GCP.

Ideal candidates have 5+ years of experience, strong Python and ML library skills, and a track record with NLP, time-series, or recommender systems. Relocation and visa support are offered for the Netherlands and beyond.