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Machine Learning Engineer

Job in Fort Smith, Sebastian County, Arkansas, 72917, USA
Listing for: ArcBest
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Machine Learning Engineer role at Arc Best
.

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 dataset 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
  • Integrate ML components into a fully functional software system.
  • Understand the landscape of ML infrastructure and ML systems required to support Cognitive Engagement technologies, both current and emerging.
  • Develop, monitor, and maintain the ML models required to support Cognitive Engagement products throughout Arc Best.
  • Tailor and deploy ML tools, processes, and metrics.
  • Test solutions thoroughly to ensure reliable functionality prior to implementation.
  • Serve as a subject matter expert on machine learning.
  • Comply with project plans and industry standards.
  • Troubleshoot Cognitive Engagement system failures or performance issues, including live site support and on‑call rotation.
  • Execute full lifecycle model development using MLOps.
  • Write well designed, testable, efficient code.
  • Develop model verification plans and quality assurance procedures.
  • Document and maintain model functionality.
  • Produce specifications and determine operational feasibility of ML models.
  • Other duties and projects, as assigned.
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 Dev Ops, 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.
  • Travel Requirements: Minimal (0‑25%).
  • Compensation: This is a salary position paid biweekly.
About Us

Arc Best® is a multibillion‑dollar integrated logistics company that helps keep the global supply chain moving. We offer ground, air, and ocean transportation through various capacity providers, including our LTL carrier ABF Freight®, our truckload service MoLo®, and our expedite fleet, Panther Premium Logistics®. Through our managed solutions, we partner with customers to create logistics strategies that increase operational efficiencies, reduce costs and give better insights into their supply chains.

We also offer moving services through U-Pack®. Our technology and innovations team, Arc Best Technologies, provides custom‑built solutions, leading‑edge technology, and advanced analytics that help support our customers and optimize supply chains.

Seniority level
  • Entry level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
Industries
  • Transportation, Logistics, Supply Chain and Storage

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