Machine Learning Developer

Position Title

Machine Learning Developer

Remote work, VA, US

Yes, 10% of the time

Full-time

Day Job

SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This is a hybrid/remote position and will require some onsite work at the Pentagon.

• Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
• Refine data collection processes and improve data quality.
• Design and develop scalable machine learning solutions for various applications.
• Work with software developers to integrate machine learning models into production systems.
• Conduct research to identify new approaches and methods for machine learning and AI.
• Stay updated with the latest trends and advancements in machine learning and AI.
• Document processes, codes, and workflows for future reference and reproducibility.
• Provide support and maintenance for deployed machine learning systems.

Required

Education:

• Bachelors and five (5) years or more experience;
  Masters and three (3) years or more experience;
  PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

• Proven experience as a Machine Learning Developer or similar role.
• Strong programming skills in Python, R, C#, Java or similar languages.
• Experience with deep learning techniques and models.
• Expertise in natural language processing (NLP) or computer vision.
• Proficiency with machine learning frameworks and libraries such as Tensor Flow, PyTorch, Scikit-Learn, etc.
• Experience with data preprocessing, data mining, and data visualization techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Familiarity with software development best practices and source control (e.g., Git).

Active Secret clearance is required for this position.

Target salary range $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.