Machine Learning Engineer

• Build and deploy production-grade ML solutions with strong performance, reliability, scalability, and cost-efficiency.
• Apply deep expertise in ML algorithms, deep learning, and distributed computing to design high-performing platforms.
• Drive rapid experimentation and apply strong product-development principles in an agile, cross-functional team environment.
• Architect and optimise cloud-based ML infrastructure (Azure/GCP) for training, deployment, and monitoring.
• Implement and improve large-scale data pipelines using Spark, Beam, Kafka, and similar technologies.
• Lead best practices in model lifecycle management, observability, and MLOps.
• Stay up to date with ML research and contribute to internal knowledge-sharing communities.
• Leverage expertise in recommendation systems and large datasets to deliver high business value.

• 5+ years hands-on experience building and deploying production ML systems.
• Strong understanding of ML fundamentals and deep learning.
• Proficiency with Vertex AI, GCP, Hugging Face, transformers, PyTorch, scikit-learn, Airflow, GitHub, vector search, and knowledge graph technologies.
• Strong programming skills in Python, Go, or Rust + excellent SQL.
• Proven success delivering models end-to-end into production.
• Bonus: experience with recommendation systems, reinforcement learning, or learning-to-rank.
  

• Start: Asap
• Duration: 6 months (possibility to extend)
• Location: Amsterdam, Hybrid

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Important: job fraud

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