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Key Responsibilities
- Design, develop, and deploy machine learning models for real-world applications
- Collaborate with data scientists, engineers, and product teams to translate business requirements into ML solutions
- Preprocess, clean, and analyze large datasets
- Monitor and optimize model performance in production
- Implement scalable ML pipelines (ETL, training, serving) using cloud infrastructure
- Stay up-to-date with the latest research and techniques in machine learning and AI
Required Skills & Experience
- Proven experience (3+ years) as a Machine Learning Engineer or similar role
- Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with data engineering, model training, evaluation, and deployment
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes)
- Strong understanding of statistics, algorithms, and deep learning concepts
- Excellent communication and problem-solving skills
- Fluent in English; Dutch is a plus
Nice to Have
- Experience with computer vision, NLP, or time series analysis
- Background in software engineering and CI/CD practices
- Knowledge of GDPR and ethical considerations in AI
- Familiarity with BI tools and data visualization (e.g., Power BI, Tableau)
Key Skills
Ranked by relevance
machine learning
data visualization
deep learning
tensorflow
power bi
kubeflow
docker
mlflow
cloud
gdpr
cicd
aws
gcp
etl
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- Posted
- Jun 20, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Amsterdam Area
- Company
- Parallel Consulting
Industries
IT Services
IT Consulting
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
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