Machine Learning Infrastructure Engineer

3 weeks ago


Cincinnati, Ohio, United States Saxon Global Full time

We are seeking a highly skilled Machine Learning Infrastructure Engineer to join our team at Saxon Global. In this role, you will design, implement, and manage the infrastructure that supports machine learning models in production environments.

Job Description:

The Machine Learning Infrastructure Engineer will work closely with data science teams to ensure the smooth integration and efficient operation of machine learning models. This includes designing and implementing cloud solutions, automating model deployment and monitoring, and analyzing model performance to identify areas for improvement.

Key Responsibilities:
  • Design and implement cloud solutions for scalable data processing
  • Automate model deployment and monitoring
  • Analyze model performance and provide insights for improvement
  • Maintain infrastructure that supports machine learning algorithms
  • Collaborate with data science teams to deploy models and optimize model performance
Requirements:
  • Proven experience as a Machine Learning Infrastructure Engineer or similar role
  • Strong understanding of data structures, software architecture, and cloud computing
  • Ability to write robust code in Python, Java, and R
  • Experience working with containers and Kubernetes
  • Familiarity with MLOps frameworks like MLFlow
Salary:

$140,000 - $200,000 per year, depending on location and experience.



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