Machine Learning Engineer - Tulsa, United States - Sequoyah Technologies

Description

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
Send Us A Message

We would love to connect and hear how


SEQTEK
can value your business.
Delivering Transformative Technologies Since 1999

#J-18808-Ljbffr