Job description

As a Sr. Machine Learning Engineer, you will support the U.S. Army Command by creating cybersecurity solutions using cloud-based architectures, particularly AWS. You will collaborate directly with stakeholders and Army security teams to develop deployable solutions using government-available technologies. Your responsibilities include liaising with software vendors, integrating point solutions into comprehensive capabilities for Army Defense Cyber Operations (DCO), and delivering mission-critical software to protect military cybersecurity infrastructure. Key Responsibilities · Stakeholder Collaboration (30%) Work directly with Army stakeholders to understand cybersecurity requirements and design solutions. · ML Solution Development (25%) Develop machine learning models using frameworks like TensorFlow, PyTorch, or Keras. · Cloud Deployment (20%) Deploy ML solutions on cloud platforms such as AWS. · Integration & Coordination (15%) Liaise with software vendors and integrate point solutions into broader cyber capabilities. · Compliance & Documentation (10%) Ensure technical solutions are compliant with security requirements and well-documented. Requirements Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field · Master’s Degree in Data Science, Machine Learning, or a related field · Proven experience in a machine learning or AI engineering role · Strong proficiency in Python, C++, or Java · Experience with ML frameworks such as TensorFlow, PyTorch, or Keras · Familiarity with cloud platforms (AWS, Google Cloud, Azure) · Experience with data preprocessing, feature engineering, and model selection · Knowledge of data structures, algorithms, and software architecture · Excellent problem-solving abilities and attention to detail · Strong communication skills for non-technical stakeholder engagement · Commitment to clean, efficient, and well-tested code · Self-motivated, with the ability to work both independently and in teams

Requirements