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Job Description

The Machine Learning (ML) Engineer designs, develops, installs, optimizes, and maintains the machine learning components of our cognitive systems. This position evaluates machine learning processes, performs statistical analysis to resolve data set problems, and enhances the accuracy of our AI software's predictive automation capabilities. The Machine Learning Engineer also builds high-quality, innovative, and fully performing models in compliance with coding standards and technical design and is responsible for development, writing code, troubleshooting, and documenting functionality.

Responsibilities

* Troubleshoot Cognitive Engagement system failures or performance issues, including live site support and on-call rotation.

* Comply with project plans and industry standards.

* Tailor and deploy ML tools, processes, and metrics.

* Integrate ML components into a fully functional software system.

* Execute full lifecycle model development using MLOps.

* Understand the landscape of ML infrastructure and ML systems required to support Cognitive Engagement technologies, both current and emerging.

* Other duties and projects, as assigned.

* Test solutions thoroughly to ensure reliable functionality prior to implementation.

* Develop model verification plans and quality assurance procedures.

* Write well designed, testable, efficient code.

* Develop, monitor, and maintain the ML models required to support Cognitive Engagement products throughout ArcBest.

* Serve as a subject matter expert on machine learning.

* Document and maintain model functionality.

* Produce specifications and determine operational feasibility of ML models.

Requirements

Education:

* Bachelor's Degree in computer science, data science, mathematics, or related field, preferred

* Master's Degree in computational linguistics, data analytics, or related field, preferred

Experience:

* Proven experience as a Machine Learning Engineer or similar role, preferred

Computer Skills:

* Proficiency with Python code writing, MLOps, and deployment pipelines; working knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture; basic proficiency with C#, Azure DevOps, and Agile methodology a plus.

* Proficient in Microsoft Office Suite.

Competencies:

* Active Learning

* Estimating

* Machine Learning

* Producing Results

* Software Development

* Stakeholder Focus

Other Details

Work Hours:

* Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload. This role is subject to 24 hour on-call responsibilities as needed.

Compensation:

* This is a salary position paid biweekly.

Other:

* Applicants must be currently authorized to work in the United States and the employer will not sponsor applicants for work visas for this role.

An Equal Opportunity Employer M/F/Vet/Disability