Machine Learning Developer at SAIC

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, R, C#, Java, Deep Learning, Natural Language Processing, Computer Vision, TensorFlow, PyTorch, Scikit-Learn, Data Preprocessing, Data Mining, Data Visualization, Software Engineering, Git

Industry

Defense and Space Manufacturing

Description

SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This is a remote position. 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. Key Responsibilities: 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. Qualifications: 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). Clearance: Active Secret clearance is required for this position.

Responsibilities

The developer will be responsible for developing and implementing machine learning models and algorithms to suggest values for readiness reports for the DOD client. Key tasks include refining data collection, designing scalable ML solutions, and integrating models into production systems.