Machine Learning Engineer

2 weeks ago


Tulsa, Oklahoma, United States Sequoyah Technologies Full time


We're looking for a Machine Learning (Ops) Engineer who is experienced in deploying and managing machine learning models at scale in production for our Machine Learning Operations team.

The team is a cross-functional team and as a ML Engineer you will closely work with data scientists and data engineers in operationalizing ML models.


Roles and Responsibilities:

  • As an ML Engineer in the MLOps team you will be a key stakeholder and owning responsibility in operationalize and monitor machine learning models using high end tools and technologies.
  • Requirement gathering specific to ML Systems.
  • Execute best practices in version control and continuous integration / delivery
  • Collaborate with data scientists, data engineers and other key stakeholders
  • Work well in a fast-paced cross-functional environment
Expertise should include some or all of the following:
Python
Machine learning
TensorFlow

AWS
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