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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- Experienced Machine Learning Engineer with 5+ years in developing and deploying scalable ML solutions to solve complex business problems.
- Design, build, and productionize machine learning models, ensuring performance, scalability, and maintainability using cloud (Azure required; GCP preferred) or on-prem solutions.
- Hands-on expertise in Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), and MLOps practices including CI/CD, containerization (Docker/Kubernetes), and model lifecycle management.
- Collaborate cross-functionally with data scientists, engineers, developers, and business stakeholders to deliver end-to-end ML solutions.
- Responsibilities also include data preprocessing, feature engineering, model evaluation, and continuous monitoring. Familiarity with industry standards (e.g., GDPR, ISO 27000) is a plus.
- Passionate about AI, skilled in mentoring, and thrives in agile environments, with a strong focus on value-driven, customer-centric development.
- A challenging, innovating environment.
- Opportunities for learning where needed.
Key Skills
Ranked by relevance
machine learning
containerization
tensorflow
pytorch
python
cloud
mlops
gdpr
cicd
gcp
ai
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- Posted
- Sep 14, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Amsterdam
- Company
- GeekSoft Consulting
Industries
IT Services
IT Consulting
Categories
Information Technology
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