Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided)

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

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?

At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions.

Here’s what makes us stand out:

• 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!

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

Requirements

• 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.

What We Offer

• Competitive Compensation: Salary tailored to your skills and experience.
• Generous Time Off: 25 paid vacation days (based on a 40-hour work week).
• 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!

Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.