Job Description

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. From concept-to-deployment, General Atomics North Point Defense, Inc. (GA-NPD), a division of General Atomics Integrated Intelligence, Inc. (GA-Intelligence), provides AI/ML-based autonomous signal processing and data dissemination solutions providing real-time actionable intelligence supporting tactical and national mission priorities. At GA-NPD, we take a tailored approach meeting our customers' unique intelligence needs. We are seeking an MLOps engineer who will streamline the end-to-end machine learning lifecycle, from research, development and experimentation to deployment and monitoring in production environments. This role demands applying software engineering best practices, such as continuous integration (CI) and continuous delivery (CD), to machine learning systems, ensuring ML models are not just developed but are also scalable, reliable, and continuously perform well in real-world applications. Our team of experts work closely with the end-user in the development and implementation of a defense solution meeting platform and/or site-specific requirements. We pride ourselves as a trusted Defense Industry partner and deliver top-notch services far exceeding typical industry standards. **DUTIES AND RESPONSIBILITIES:** + Package ML models in containers, i.e. Docker, and deploy to production environments. + Design and implement ML pipelines for data ingestion, training, evaluation, and deployment. + Setup and maintain model monitoring and logging of deployed models to track performance metrics like accuracy, latency, and resource utilization. + Collaborate with a diverse team including data scientists to transition models from research to production, software engineers to integrate ML models into broader application architectures, and system engineers to maximize hardware resources (cpu, fpga, gpu) to optimize performance. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. 51905 **Job Qualifications:** + Typically requires a bachelors degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution. May substitute equivalent machine learning engineer experience in lieu of education. + Strong proficiency in Python. Experience with other languages like C++ is also valuable. + Understanding of machine learning principles and frameworks like PyTorch (preferred), TensorFlow, etc. + Practical experience with Docker for deployment and packaging applications. + Experience with optimizers such as TensorRT, onnx, and openVino. + Proficient with Linux command line environment. + Ability to obtain and maintain DoD Security Clearance is required. **Salary:** $81,000 - $141,533 **Travel Percentage Required** 0 - 25 **Relocation Assistance Provided** Not Provided **US Citizenship Required?** Yes **Clearance Required?** Desired **Clearance Level** Entry-Level (0-2 years) **Workstyle** Onsite General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

Job Tags

Local area, Remote work, Relocation package,

Similar Jobs