What are the responsibilities and job description for the Machine Learning Operations Engineer position at PDSSOFT?
Machine Learning Operations Engineer
Location : San Francisco, CA (Hybrid)
Duration : Long Term
Job Description :
Join our innovative team as a Machine Learning Operations Engineer! We are looking for a skilled professional to help deploy and optimize the infrastructure for machine learning models. Our current ML Ops platform, built on Sagemaker, is set to transition to DataRobot for our development and deployment needs shortly. In addition, we utilize Airflow in multiple areas, specifically the MWAA hosted-Airflow offering from AWS.
In this role, you will focus on two main areas : ML Operations and our Central Airflow platform supporting the Data Engineering team :
- ML Operations : Support our Data Science team in developing and deploying machine learning models. Your expertise in AWS infrastructure and CI / CD processes will be vital as we transition from Sagemaker to DataRobot.
- Airflow Management : Handle requests for creating and managing secrets / variables, deploying DAGs, and ensuring that changes from Data Engineers adhere to best practices. You will also deploy Airflow updates that support new packages and platforms, including containerized solutions.
Required Skills :
Bonus Skills :
