ML Engineer — Cloud, MLOps & GenAI (Netherlands)

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

Benefits offered by this job

Competitive compensation

25 days vacation

Relocation support

30% ruling tax benefit

Travel reimbursement

Top-notch equipment

Professional development

Visa sponsorship for family

Temporary accommodation

Comprehensive relocation assistance

Community & events

Job summary

Wypoon Technologies is seeking a Machine Learning Engineer to design and deploy production-grade AI in Azure cloud. You’ll work on end-to-end ML solutions, from data handling to model deployment and monitoring, spanning classification, NLP, and time-series use cases.

You’ll collaborate with data scientists and engineers, apply feature engineering, and implement MLOps practices with CI/CD, versioning, and observability. Relocation support available for global talent.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of professional ML or data science experience.
• Strong Python and ML libraries experience (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience deploying ML models in cloud environments (Azure).
• Familiarity with ML pipelines, orchestration, and CI/CD practices.
• Experience with Generative AI use cases, LLMs, embeddings, or GPT integrations.
• Familiarity with Transformers, LangChain, or RAG architectures.
• Exposure to Responsible AI, explainability, or ethical ML practices.
• Background in MLOps tooling (MLflow, DVC, Feast).
• Experience with data labeling tools or ML observability platforms.
• Solid software engineering principles and cloud infrastructure knowledge.
• Nice-to-have data lakes, distributed systems, APIs.

Responsibilities

• Design and implement ML pipelines in Azure cloud environment.
• Develop and deploy models for classification, regression, time series, recommendation, or NLP use cases.
• Work with structured and unstructured data; apply 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.
• Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions.
• Contribute to MLOps: model versioning, CI/CD for ML, performance monitoring, rollback strategies.

Skills

Python

ML libraries

Azure cloud

MLOps

CI/CD

Generative AI

Docker

Kubernetes

MLflow

Airflow

LangChain

HuggingFace

RAG architectures

Responsible AI

APIs & Data Lakes

Education

Bachelor’s degree in CS/SE or related field

Tools

Docker

Kubernetes

Azure ML

SageMaker/Vertex AI

Job description

Wypoon Technologies is seeking a Machine Learning Engineer to design and deploy production-grade AI in Azure cloud. You’ll work on end-to-end ML solutions, from data handling to model deployment and monitoring, spanning classification, NLP, and time-series use cases.

You’ll collaborate with data scientists and engineers, apply feature engineering, and implement MLOps practices with CI/CD, versioning, and observability. Relocation support available for global talent.