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About the job
We are looking for an AI / Machine Learning Engineer to help build and scale production-ready ML solutions. You will take machine learning models from development to deployment, ensure pipelines are reliable, and help your colleagues adopt best practices in MLOps — all in a collaborative, DevOps-oriented environment.
Your Job
- Develop and maintain ML pipelines, frameworks, and automated workflows
- Collaborate with data scientists, engineers, and domain experts to implement solutions
- Monitor, retrain, and optimize deployed models for performance and reliability
- Contribute to research, innovation, and continuous improvement of ML operations
Your Profile
- Strong programming skills in Python
- Experience taking ML models from development to production
- Knowledge of MLOps concepts and CI/CD pipelines
- Familiarity with cloud platforms (e.g., Azure, Databricks)
- Analytical, proactive, and collaborative mindset
Nice to have:
- Experience with MLflow or similar model lifecycle platforms
- Familiarity with Spark or big data processing
We Offer:
- Hybrid working
- Flexible hours to work with global teams.
- A high-impact role in a diverse, international environment.
- 25 vacation days.
Interested? Apply directly or reach out to Ghazal at +31615366790 or [email protected]
Key Skills
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