About this role
Machine Learning Engineer IV
Job Summary: General Atomics (GA), and its affiliated companies, is one of the world’s leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.
Under consultative direction, this position plays a crucial role in shaping our AI strategy, driving generative AI development, maturing our machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives. They will support our long-range strategy, goals, and objectives by designing and developing AI solutions using cloud and on-prem software platforms including Azure, AWS, and others as needed.
DUTIES AND RESPONSIBILITIES:
Generative AI Development: • Lead the design, development, and deployment of integrated custom solutions that leverage generative AI models using various design patterns including Prompting & Context Management, Responsible AI, RAG, Agentic & Multi-Agent workflows, and AI for data analytics. • Collaborate with data scientists, engineers, and subject matter experts to create AI solutions that provide significant value to the company while keeping ethical considerations and bias mitigation as a priority. • Design AI solutions with data-classification and sensitivity controls to prevent CUI/export-controlled data exposure to unauthorized environments. Standards and Best Practices • Establish coding standards, documentation practices, and quality assurance processes for AI/ML projects. • Ensure compliance with industry best practices and security protocols such as but not limited to: NIST 800-171, CMMC Level 2, NIST AI RMF and the DoD Responsible AI principles. • Foster close working partnerships with cyber, risk management and other compliance stakeholders. LLM Ops Integration • Design and develop new processes to support the integration of AI/ML pipelines into our GovCloud / Azure Government / GCC High, IL4, CI/CD workflows. • Automate model deployment, testing, monitoring, and scaling. • Integrate into approved change control process • Responsible for model administration, observability, and governance AI Center of Excellence • Support the design, build, and growth of our AI Agentic Platform Architecture. • Drive innovation by staying abreast of AI trends and fostering a culture of continuous learning. • Collaborate with cross-functional teams to identify new AI opportunities and pilot projects that align with business goals. • Provide mentorship and technical guidance to other developers in ITS and the business, establishing a Community of Practice for AI. • Provide second/third tier user support for AI solutions as needed. • May act in a technical leadership role to lead cross-functional teams in the development and delivery of AI solutions. • Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. • Performs other duties as assigned.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications: • Typically requires a bachelors masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education. • Must demonstrate the application of advanced technical principles, theories, concepts, and techniques in the design of machine learning and artificial intelligence solutions. • Must be proficient with DevOps platforms and processes either cloud based or on-prem. • Must be experienced with configurating and deploying solutions in AWS and/or Azure cloud platforms. • Must have excellent organization skills including planning and coordinating work assignments to meet project milestones or completion dates. • Should be familiar with ITAR/EAR standards or handing export-controlled technical data. • Should be familiar with CUI, ITAR, and proprietary data regulations. • Must be customer focused and possess: • the ability to identify and analyze issues and develop solutions to complex problems; • strong analytical, verbal and written communication skills to accurately document, report, and present findings; • strong interpersonal skill to interface with all levels of employees, management and external contacts; and • strong computer skills.
• Ability to work independently or in a team environment is essential.