Machine Learning Engineer

Innovitusa

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profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: Not Disclosed
Posted on: 19 hours ago
Vacancies: 1 Vacancy

Job Summary

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Summary: Machine Learning Engineers develop predictive models and AI solutions to support business objectives. They implement algorithms and optimize machine learning workflows.

Key Responsibilities:

  1. Design and implement machine learning models.
  2. Train and evaluate models with large datasets.
  3. Collaborate with data scientists and engineers.
  4. Optimize algorithms for performance and scalability.
  5. Deploy models into production environments.
  6. Monitor and maintain model accuracy and performance.
  7. Document models assumptions and methodologies.
  8. Research and apply emerging ML techniques.
  9. Ensure compliance with ethical AI practices.
  10. Provide guidance on integrating ML solutions with applications.

Qualifications:

  • Bachelors or Masters in Data Science Computer Science or related field.
  • 3-5 years of experience in machine learning or AI.
  • Proficiency in Python R and ML frameworks (TensorFlow PyTorch).
  • Strong statistical and analytical skills.

Preferred Skills/Duties:

  • Knowledge of NLP computer vision or deep learning.
  • Experience with cloud ML platforms.
  • Ability to translate business problems into ML solutions.
  • Strong communication and collaboration skills.
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Summary: Machine Learning Engineers develop predictive models and AI solutions to support business objectives. They implement algorithms and optimize machine learning workflows. Key Responsibilities: Des...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting