Machine Learning Engineer

Machine Learning Engineer

We are in search of a passionate Machine Learning Engineer with a keen interest in computer vision. In an Azure cloud environment youll be instrumental in building Advanced Analytics solutions developing predictive models from vast data sets using cuttingedge computer vision techniques for applications based on realtime data. Furthermore youll ensure these models are productionready and deploy them via Cl/CD methodologies. Your expertise and collaborative spirit will be key as you:

• Develop predictive models and applications using computer vision.
  
• Analyze models in production to continuously enhance their performance.
  
• Write productiongrade code that leverages realtime data adding value to operations.
  
• Craft tests and document the code and architecture thoroughly.
  
• Deploy code and architecture to production through Cl/CD pipelines.
  
• Engage with business partners proactively to understand customer needs.
  
• Maintain a critical eye on product quality and stability offering and implementing improvements.
  

Our team adheres to an Agile/DevOps methodology delivering working increments biweekly. You will interact frequently with IT and business colleagues to provide solutions and foster improvement. Open to tackling challenges outside your expertise Great! Youll also support your teammates in becoming selforganizing and welcome feedback as an opportunity for growth. As a professional you will enhance the team and promote an Agile and DevOps approach.

Requirements

Your Qualifications:

• A completed technical Masters degree preferably in AI (applied) mathematics data science or computer science.
  
• A minimum of 3 years of relevant work experience in data science/Al with a specialization in computer vision.
  
• Proficiency in developing productionready software and conducting thorough testing.
  
• Skilled Python Git pyTorch/ TensorFlow OpenCV Infrastructure as Code (Terraform ARM/Bicep) Docker Azure DevOps Cl/CD.
  
• Solid understanding of computer science fundamentals (testing design patterns objectoriented programming etc.).
  
• Experience with setting up (data science) cloud architecture within Microsoft Azure is a plus: Machine Learning workspace Function App Keyvault Container registry Log Analytics Networking etc.
  
• Familiarity with Agile and DevOps methodologies and the courage to take responsibility for shared sprint outcomes.
  
• The ability to explore alternative paths to achieve goals and remain steadfast under pressure.
  

Additional Candidate Preferences:

Location: We have a strong preference for candidates who are currently based in the Netherlands or within Europe. This facilitates a smoother transition and integration into our team given our operational locations and work culture.

Visa Sponsorship: For international candidates not currently in the Netherlands we are open to sponsoring visas. However this offer extends specifically to those who have a minimum of one years experience working with a Dutch client. This criterion helps ensure that potential candidates are already familiar with the Dutch work environment and regulatory landscape easing the onboarding process.

Availability: Ideal candidates will be available to start immediately or within a 30day period. We value the ability to mobilize quickly and integrate efficiently into our dynamic work environment contributing to our ongoing projects without delay.

Machine Learning Engineer We are in search of a passionate Machine Learning Engineer with a keen interest in computer vision. In an Azure cloud environment, you'll be instrumental in building Advanced Analytics solutions, developing predictive models from vast data sets using cutting-edge computer vision techniques for applications based on real-time data. Furthermore, you'll ensure these models are production-ready and deploy them via Cl/CD methodologies. Your expertise and collaborative spirit will be key as you: Develop predictive models and applications using computer vision. Analyze models in production to continuously enhance their performance. Write production-grade code that leverages real-time data, adding value to operations. Craft tests and document the code and architecture thoroughly. Deploy code and architecture to production through Cl/CD pipelines. Engage with business partners proactively to understand customer needs. Maintain a critical eye on product quality and stability, offering and implementing improvements. Our team adheres to an Agile/DevOps methodology, delivering working increments bi-weekly. You will interact frequently with IT and business colleagues to provide solutions and foster improvement. Open to tackling challenges outside your expertise, Great! You'll also support your teammates in becoming self-organizing and welcome feedback as an opportunity for growth. As a professional, you will enhance the team and promote an Agile and DevOps approach. Your Qualifications: A completed technical Master's degree, preferably in AI, (applied) mathematics, data science, or computer science. A minimum of 3 years of relevant work experience in data science/Al with a specialization in computer vision. Proficiency in developing production-ready software and conducting thorough testing. Skilled Python, Git, pyTorch/ TensorFlow, OpenCV, Infrastructure as Code (Terraform, ARM/Bicep), Docker, Azure DevOps, Cl/CD. Solid understanding of computer science fundamentals (testing, design patterns, object-oriented programming, etc.). Experience with setting up (data science) cloud architecture within Microsoft Azure is a plus: Machine Learning workspace, Function App, Keyvault, Container registry, Log Analytics, Networking, etc. Familiarity with Agile and DevOps methodologies and the courage to take responsibility for shared sprint outcomes. The ability to explore alternative paths to achieve goals and remain steadfast under pressure. Additional Candidate Preferences: Location: We have a strong preference for candidates who are currently based in the Netherlands or within Europe. This facilitates a smoother transition and integration into our team given our operational locations and work culture. Visa Sponsorship: For international candidates not currently in the Netherlands, we are open to sponsoring visas. However, this offer extends specifically to those who have a minimum of one year's experience working with a Dutch client. This criterion helps ensure that potential candidates are already familiar with the Dutch work environment and regulatory landscape, easing the onboarding process. Availability: Ideal candidates will be available to start immediately or within a 30-day period. We value the ability to mobilize quickly and integrate efficiently into our dynamic work environment, contributing to our ongoing projects without delay.