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Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided) at Wypoon Technologies · Katori

Asks for

The ad says“Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP”
The ad says“Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP”
The ad says“Familiarity with ML pipeline orchestration and CI/CD practices”
The ad says“Solid understanding of software engineering principles and cloud infrastructure”
The ad says“Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations”
The ad says“Experience with data labeling tools or ML observability platforms”
The ad says“Background in MLOps tooling: MLflow, DVC, Tecton, Feast”
The ad says“Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations”
The ad says“Exposure to Responsible AI, explainability, or ethical ML practices”
The ad says“Exposure to Responsible AI, explainability, or ethical ML practices”
The ad says“Background in MLOps tooling: MLflow, DVC, Tecton, Feast”
The ad says“Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP”
The ad says“Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations”
The ad says“Familiarity with HuggingFace Transformers, LangChain, or RAG architectures”
The ad says“Familiarity with HuggingFace Transformers, LangChain, or RAG architectures”
The ad says“Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations”
The ad says“Experience with data labeling tools or ML observability platforms”
The ad says“Familiarity with ML pipeline orchestration and CI/CD practices”
The ad says“Background in MLOps tooling: MLflow, DVC, Tecton, Feast”
The ad says“Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations”
The ad says“Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost”
The ad says“Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost”
The ad says“Familiarity with HuggingFace Transformers, LangChain, or RAG architectures”
The ad says“Exposure to Responsible AI, explainability, or ethical ML practices”
The ad says“Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost”
The ad says“Solid understanding of software engineering principles and cloud infrastructure”
The ad says“Background in MLOps tooling: MLflow, DVC, Tecton, Feast”
The ad says“Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost”
The ad says“Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost”

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 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.

Apply now to be part of our transformative journey!

Asks for

Values

Key Responsibilities

Requirements

What We Offer