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

Arbeitnow; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Salary tailored

25 days vacation

Relocation budget

30% ruling

Travel reimbursement

Equipment provided

Professional development

Visa sponsorship

Temporary housing

Relocation assistance

Team events

Job summary

Wypoon Technologies is seeking a Machine Learning Engineer to design and deploy production-grade ML solutions in the cloud. You’ll work with teams across the enterprise to deliver scalable models for classification, time series, NLP, and recommendations.

The role emphasizes MLOps, CI/CD, monitored performance, and collaboration with data scientists and product teams to translate business problems into ML solutions.

Qualifications

• At least 5 years of professional experience.
• Advanced English skills (min B2).
• Bachelor's degree in Computer Science or related field.
• Strong Python and ML libraries knowledge (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience in major cloud platforms (Azure/AWS/GCP).
• Familiar with ML pipelines, CI/CD, and MLOps practices.
• Experience with Generative AI, LLMs, embeddings, or GPT integrations.
• Familiarity with Transformers, LangChain, or RAG architectures.
• Exposure to Responsible AI and explainability.
• Background in MLOps tools: MLflow, DVC, Feast.

Responsibilities

• Design and implement ML pipelines in Azure cloud environment.
• Develop and deploy models for classification, time series, NLP, and recommendations.
• Work with structured/unstructured data; apply feature engineering and evaluation.
• Package/deploy models using Docker/Kubernetes.
• Automate ML workflows with MLflow, Airflow, or cloud-native tools.
• Collaborate with data scientists, engineers, and product teams.
• Advance MLOps: versioning, CI/CD, monitoring, rollback strategies.

Skills

Python

ML pipelines

MLOps

Docker

Kubernetes

CI/CD

Generative AI

NLP

Education

Bachelor's degree in CS/SE

Tools

Azure

AWS

GCP

MLflow

Airflow

SageMaker

Vertex AI

Azure ML

LangChain

HuggingFace

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.

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.

Why Join Us?

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 Azure cloud environment
• 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.