Machine Learning Engineer

Job Responsibilities

• Evaluating models for applicability to mission problems, including speed, accuracy, security, and compliance.
• Understanding of standard AI / ML data formats for models, weights, and data interchange.
• Applying industry standard techniques for compressing and fine-tuning models to fit target platforms.
• This would include CPU-only implementations and edge devices.
• Optimizing performance and efficiency of ML/AI models through continuous testing and refinement.
• Designing and developing ML and AI algorithms and integrate those ML and AI algorithms into systems to solve emerging mission critical problems.
• Providing Leadership and support for corporate AI efforts, including the AI Working Group, Innovation Center, and proposal activities.
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conducting research and experiments to identify and evaluate the most suitable ML/AI techniques for specific use cases.
• Staying up to date with the latest advancements in ML/AI technologies and best practices.
• Researching new technologies, understanding emerging challenges to mission critical solutions and quick reaction problem identification & resolution.
• Analyzing, designing, developing, testing deploying, and maintaining Java & Python based innovative solutions to address emerging mission challenges, using industry best practices and frameworks.
• Documenting experiment results, prototype software solutions and ensuring that all technical documentation (i.e. configuration guides, install guides) meets requirements.
• Collaborating with other team members and stakeholders to jointly solve problems and find solutions as a team.
• Working collaboratively in an Agile development environment.

Position Requirements

• Twenty years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
• Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
• Deep understanding of AI/ML capabilities within client environment.
• Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
• Solid understanding of data structures, algorithms, and computational complexity.
• Excellent problem-solving and analytical skills, with keen attention to detail.
• Ability to work independently as well as collaborate effectively within a team environment.
• Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology.