Python Developer (Data engineering and ML) 100% (m/w/d)

Your mission

You are a skilled Python Developer with expertise in statistical analysis and data engineering, seeking to join a team focused on developing cutting-edge customer-facing solutions in computer vision and biometrics. At PXL Vision, you'll play a key role in building sustainable, scalable, and robust Machine Learning models, along with the data pipelines and analytics that power PXL Vision’s digital identity technology stack.

Contract length: 6 months starting from January 2025

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Min. 3 years of experience in software development in Python, with a focus on machine learning and data engineering.
• Familiarity with other programming languages such as C++ or Java is a plus.
• Background in statistical analysis and data engineering, ideally related to the development of Machine Learning solutions
• Ability to work independently and manage time effectively.
• Excellent problem-solving, analytical skills and excellent command of English.
• Some travel might be required (in Switzerland)
  
  

Trusted Role: High security clearances is needed for this role

Why us?

• Flexible working hours & hybrid location model
• You can help shape things with us and fully contribute your creativity
• We are enthusiastic, international and a diverse team with a flat hierarchy
• Annual training/further education budget of up to EUR 1,500
• Language courses budget up to EUR 1'500
  
  

What you bring

• Contribute to the design and architecture of our Machine Learning models to ensure they are robust, scalable, and maintainable
• Integrate new Machine Learning methods and apply scientific rigor to experimentally evaluate their performance on real-world data
• Design and manage upstream data pipelines to efficiently gather, preprocess, and transform data for Machine Learning model training
• Design and manage downstream pipelines to monitor and analyze the performance of deployed models in production environments
• Stay current with industry trends and technologies to continuously improve the software development process and product quality
  
  

#J-18808-Ljbffr