Sr Machine Learning Ops Engineer at Horizontal Talent in Plano, Texas

Job Description:

Job Description

Utilizes complex knowledge of machine learning engineering concepts and principles to apply skills in a business environment. Primarily focused on productionizing machine learning models and systems at scale.

Essential Job Functions (3-5 years of related experience required):

• Delivers specific ML Ops engineering tasks such as moderate to complex level designing, developing, implementing, optimizing, and maintaining models, systems, and applications using existing and emerging technology platforms.


• Collaborates with cross-functional architecture teams to define and integrate frameworks and roadmaps for machine learning solutions.


• Projects are generally of moderate complexity.


• Consults on the design, development, and implementation of DevOps and ML Ops pipelines.


• May lead portions of deployment processes under guidance from people leader.


• Reviews, verifies, validates, and troubleshoots code to ensure high availability and high performance of machine learning models and applications.


• Uses complex knowledge and understanding of code management principles and best practices to follow architectural and governance guidelines.


• Effectively communicates and applies machine learning engineering value, concepts, and strategies across multiple scenarios.

Additional Qualification:

• Demonstrated analytical skills. Demonstrated problem solving skills. Possesses strong technical aptitude.


• Experience with building and maintaining end-to-end machine learning pipelines in production environments.


• Experience with model and data versioning, model deployment, model serving and monitoring. Intermediate knowledge of workflow orchestration processes and technologies.


• Ability to simultaneously handle multiple priorities.


• Seeks to acquire knowledge in area of specialty.

Special Skill Requirements (3-5 years of related experience required):

• Strong Coding experience with Python


• Object Oriented Programing


• AWS - SageMaker


• Git, GitHub

Additional Qualification:

• Demonstrated analytical skills.


• Demonstrated problem solving skills.


• Possesses strong technical aptitude.


• Experience with designing and building scalable enterprise ML Ops frameworks and pipelines including integration, testing, deployment, monitoring, infrastructure management, audit and governance.


• Advanced understanding and practical application of workflow orchestration processes and technologies.

Once you apply for this position, you may receive a phone call, SMS or email from our Virtual Recruiter, Alex, to conduct an initial interview. Apply Now