Data Scientist Machine Learning Engineer

Required Skills:

• Experience: Minimum of 4 years of experience in Software Data or ML Engineering with at least 2 years specifically in ML Engineering ideally working with large data sets.
  
• Python & PySpark: Proficiency in Python and PySpark with experience in Azure Databricks being a plus.
  
• Software Development: Strong software development skills and practices including Git release management unit tests and testing strategy.
  
• Cloud Environment: Experience working in a cloud environment preferably Azure.
  
• Collaboration: Ability to collaborate with data scientists and ML practitioners to provide infrastructure support for model development and deployment.
  

Desirable Skills:

• Azure Databricks: Experience with Azure Databricks for managing and processing large data sets.
  
• Customer Orientation: Strong focus on customer needs and delivering impactful solutions.
  
• Analytical Skills: Excellent analytical skills to understand and solve complex problems.
  
• Team Player: Ability to work effectively in a teamoriented environment.
  
• Learning Orientation: Eagerness to learn new techniques and developments in the field of ML and AI.
  

Benefits