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Role: ML Engineer
Location: Amsterdam, NL
Type: Contract
Job Responsibilities
- Design, develop, and deploy machine learning models for production environments
- Collaborate with data scientists, software engineers, and product teams to translate business problems into ML solutions
- Build and maintain data pipelines for training, validation, and inference
- Optimize model performance, scalability, and reliability
- Implement model monitoring, versioning, and retraining strategies
- Conduct experiments, evaluate models, and iterate based on results
- Write clean, maintainable, and well-documented code
- Stay up to date with advancements in machine learning and AI technologies
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- Strong experience with Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of machine learning algorithms and statistical methods
- Experience with data processing tools (e.g., Pandas, NumPy, SQL)
- Knowledge of software engineering best practices (version control, testing, CI/CD)
- Experience deploying models in production (APIs, microservices, or batch systems)
Preferred Qualifications
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
- Knowledge of big data technologies (Spark, Kafka)
- Experience with deep learning, NLP, or computer vision
- Understanding of containerization and orchestration (Docker, Kubernetes)
Key Skills
Ranked by relevance
machine learning
containerization
microservices
deep learning
tensorflow
big data
kubeflow
pytorch
python
docker
pandas
mlflow
cloud
numpy
spark
mlops
aws
gcp
ai
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- Posted
- Feb 01, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Amsterdam Area
- Company
- Confidential
Industries
Financial Services
Information Services
Banking
Categories
Finance
Information Technology
Accounting/Auditing
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