Role overview
SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.
This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.
What you'll work on
- 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.
*Qualifications
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.
What we're looking for
- 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 TensorFlow, 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).
Tags & focus areas
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