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Machine Learning Engineer; Associate

Job in Van Buren, Crawford County, Arkansas, 72957, USA
Listing for: Huron
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Engineer (Associate)

Employer Industry

Global Consultancy

Why consider this job opportunity
  • Opportunity for career advancement and growth within the organization
  • Work on impactful projects for Fortune 500 clients across various industries
  • Collaborative and innovative team environment
  • Investment in professional development, including resources for continuous learning and certifications
  • Engage in diverse challenges that enhance your skillset and experience
What to Expect (Job Responsibilities)
  • Design and build end-to-end machine learning solutions, from data pipelines to production deployment
  • Develop traditional ML and generative AI systems, including supervised/unsupervised learning and NLP applications
  • Create production-grade APIs and services that integrate ML capabilities into client systems
  • Implement MLOps practices to ensure reliable solutions in production
  • Collaborate with clients to translate business problems into technical solutions and communicate results effectively
What is Required (Qualifications)
  • 2+ years of hands‑on experience building and deploying machine learning solutions in production
  • Strong programming skills in Python and JavaScript, with deep experience in the ML ecosystem
  • Solid foundation in ML fundamentals, including model evaluation and feature engineering
  • Experience with cloud ML platforms, particularly Azure Machine Learning
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field
How to Stand Out (Preferred Qualifications)
  • Experience in Financial Services, Manufacturing, or Energy & Utilities industries
  • Background in forecasting, optimization, or financial modeling applications
  • Experience with deep learning frameworks and MLOps tools
  • Contributions to open‑source projects or familiarity with open‑source ML tools
  • Master’s degree or PhD in a quantitative field

#Consultancy #Machine Learning #AI #Career Development #Data Science

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Position Requirements
10+ Years work experience
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