Senior Machine Learning Engineer (Python, ML)

Requirements

Must have:

- Minimum of 10 years of experience in roles such as data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. - Demonstrated expertise in creating and deploying algorithms, mathematical models, or machine learning models in practical settings. - Proficient programming skills in Python. - Experience with cloud platforms like AWS or Azure, and containerization technologies such as Docker or Kubernetes. - Knowledge of software engineering best practices, including version control using Git. - Familiarity with machine learning frameworks including TensorFlow, PyTorch, or scikit-learn. - Solid programming skills in Java, C++, Go, or Rust. - Experience in distributed computing and parallel processing methods. - Practical knowledge of CI/CD pipelines and automation tools like GitHub Actions, GitLab CI, or Jenkins. - Excellent analytical, problem-solving, and interpersonal communication skills. - Capacity to work effectively within a collaborative team atmosphere. - Previous experience supporting government agencies or military entities is beneficial. - Physical capability to handle tools and equipment aboard ships, including navigating confined spaces and maintaining required points of contact, with a maximum weight of 50 lbs. - Ability to conduct tasks aboard Navy vessels and in challenging shipboard environments, including navigating narrow spaces and working at heights. - Willingness to perform tasks periodically during naval operations or testing scenarios. - Compliance with Navy safety regulations and use of necessary personal protective equipment (PPE).

Responsibilities:

- Design, develop, and implement machine learning models and algorithms tailored for naval applications. - Create and deploy algorithms, mathematical models, and machine learning implementations in real-world operational settings. - Engage in data preprocessing, feature engineering, model assessment, and validation tasks. - Collaborate with engineers, data scientists, and mission stakeholders to ensure alignment of machine learning solutions with operational demands. - Construct cloud-native machine learning pipelines utilizing AWS, Azure, Docker, Kubernetes, or similar platforms. - Deploy machine learning solutions using frameworks like TensorFlow, PyTorch, and scikit-learn. - Contribute to advancements in distributed computing and parallel processing to enhance machine learning model efficiency. - Participate in the development of CI/CD pipelines, automation, and DevSecOps workflows. - Apply cybersecurity principles during the design and execution of machine learning systems. - Provide thorough documentation, technical reports, and engineering artifacts that adhere to PMAT and governmental standards. - Stay updated with innovations in machine learning, data science, and emergent technologies applicable to naval and Department of Defense initiatives.

Company:

We at SAIC are excited to announce an opportunity for a Top Secret cleared AI/Machine Learning Subject Matter Expert as part of the NAVWARs Naval Operational Architecture Program based in San Diego, CA. In this vital role, you will be instrumental in advancing autonomous, AI-enabled systems that enhance distributed maritime operations. Your work will focus on translating sensor-derived data into timely decision-making triggers, contributing significantly to the Navys command networks through AI-driven analysis aimed at achieving optimal speed, resilience, and operational superiority. This five-year, recently awarded contract will allow you to play a pivotal part in shaping the future of autonomous naval warfare and analytic decision support. Our company is dedicated to redefining ingenuity and offers a comprehensive benefits package to our employees, with a competitive salary range of $160,001 to $200,000.