Role Description

This is a full-time hybrid role for an AI/ML Engineer located in The Randstad, Netherlands.

The AI/ML Engineer will be responsible for developing and implementing machine learning algorithms and models. Day-to-day tasks include conducting research on pattern recognition, designing neural networks, and applying statistical methods to analyze data. The engineer will work closely with an interdisciplinary team to improve and optimize AI systems and ensure that solutions meet the project requirements.

Role and responsibilities

• Design and implement API’s to securely expose platform services (ex. AI models) and to integrate loosely coupled application components
• Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools like Terraform or Ansible. Implement testing of automated deployments and observability frameworks (ex. Prometheus, Grafana, or Datadog) for application functionality including monitoring, logging, and tracing

Qualifications

• Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, or related field
• 8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering, with a focus on AI and ML.
• Strong expertise in cloud platforms
• Experience with GPU-accelerated computer environments and AI-specific tools like NVIDIA Triton, Kubeflow, or MLflow.
• Strong software engineering expertise in MLOps practices and proficiency in scripting (Python, JavaScript, Bash, or equivalent).
• Expertise in developing and applying Machine Learning Algorithms and Neural Networks
• Strong foundation in Pattern Recognition and Statistics
• Solid understanding of Computer Science principles and Algorithms
• Excellent problem-solving skills and attention to detail
• Ability to work collaboratively in a hybrid work environment