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Key Responsibilities:
- Design, build, and implement machine learning models and pipelines
- Collaborate with data scientists and software engineers to translate business needs into ML solutions
- Optimize and fine-tune machine learning algorithms for performance and scalability
- Work with cloud-based platforms (e.g., AWS, GCP) for ML deployment
- Analyze large datasets to identify patterns and insights that drive business value
- Maintain and improve existing models, ensuring accuracy and efficiency
Requirements:
- Proven experience in machine learning, data science, or AI engineering
- Proficiency in Python, TensorFlow, PyTorch, and relevant ML libraries
- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques
- Familiarity with cloud platforms and containerization (Docker, Kubernetes)
- Excellent problem-solving and communication skills
- Fluent in English; French or Dutch is a plus
Duration: 6-12 months (with the possibility of extension)
Key Skills
Ranked by relevance
c
ai
machine learning
cloud
ui
containerization
kubernetes
tensorflow
pytorch
python
docker
scala
excel
aws
lua
gcp
esp
sla
ha
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- Posted
- Nov 18, 2024
- Type
- Temporary
- Level
- Mid-Senior
- Location
- Brussels Metropolitan Area
- Company
- Oakwell Hampton
Industries
IT Services
IT Consulting
Categories
Information Technology
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2026-04-11
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