ML Engineer

We are looking for a ML Engineer  to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.

This role has the responsabilities to:

• Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
  
• Collaborating with cross-functional teams to help deploy/integrate machine learning models.
  
• Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
  
• Optimize feature extraction, transformation and selection.
  
• Work with and manage.
  
• Feature Stores for reusability across ML pipelines.
  
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  
• Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
  

Requirements

• 3-5 years of experience as an ML Engineer preferably with a Gaming industry background.
  
• Experienced with ML frameworks (TensorFlow, Scikit-Learn, Pytorch).
  
• Experienced with Model training, versioning and monitoring.
  
• Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS SageMaker, Databricks MLFlow), model observability frameworks, automation and feature stores.