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Machine Learning Engineer

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Enhance IT
Full Time position
Listed on 2026-05-17
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Location:

Atlanta, GA - Relocation required Job Summary

  • We are looking for an enthusiastic AI/ML Developer to join our team and help build, test, and deploy machine learning models and AI-powered applications. You’ll work with data scientists, software engineers, and product teams to develop intelligent systems that solve real-world problems.
  • This role is ideal for fresh graduates or candidates with 0–2 years of experience in machine learning, data science, or software development.
Key Responsibilities
  • Develop and implement machine learning models for prediction, classification, and automation tasks
  • Clean, preprocess, and analyze datasets for model training
  • Train, test, and evaluate ML models using standard metrics
  • Assist in deploying models into production environments
  • Optimize model performance and accuracy
  • Integrate AI solutions into applications using APIs
  • Debug and improve existing ML systems
  • Document workflows, experiments, and technical findings
  • Stay updated with the latest AI/ML technologies
  • Collaborate with cross-functional teams to solve business problems using AI
Required Skills
  • Strong proficiency in Python and basic knowledge of SQL
  • Understanding of machine learning algorithms, data preprocessing, feature engineering, and model evaluation
  • Familiarity with ML libraries/frameworks such as Tensor Flow, PyTorch, Scikit-learn, Pandas, and Num Py
  • Knowledge of data structures and algorithms
  • Basic understanding of REST APIs and model deployment concepts
  • Familiarity with version control tools like Git Hub
  • Problem-solving, analytical thinking, and teamwork skills
  • Willingness to learn and adapt to emerging AI technologies
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