. Familiarity with Agile/Scrum or SAFe methodologies. Experience supporting AI/ML workflows a plus (e.g., model deployment, GPU..., integrating AI/ML services, data pipelines, and automated infrastructure. Build and support cloud-native applications, including...
and problem solving with project managers, line managers, and clients. The NNS Model Based Engineering (E92-MBE) team is seeking...;artificial intelligence, machine learning (AI/ML) experts;engineers;technologists;scientists;logistics experts;and business...
Background Investigation prior to start Must be a US citizen Experience working with AI/ML as an integral part of executing... the software lifecycle and/or implementing AI/ML solutions to support mission Experience with Agile Scrum methodology...
in production. Strong knowledge of distributed training, GPU optimization, model serving, and production ML deployment. Hands...-on experience with MLOps, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflows. Experience with cloud...
of AI to define clear handoffs, SLAs, and data products that enable efficient model development and AI use cases Collaborate closely... when partnering with AI/ML teams and business stakeholders Product mindset with proven ability to translate business needs...
learning, and multi-agent learning approaches. Improve model convergence, sample efficiency, training stability, inference... developing simulation environments using tools such as Gymnasium/OpenAI Gym, Isaac Sim, MuJoCo, Unity ML-Agents, or NVIDIA...
, and documents**-to generate rich, structured metadata. The platform unifies multiple ML/AI models to extract curated insights..., and extensibility to support new ML models, LLM-based agents, and cross-modal inference as use cases evolve. We are looking for a **mid...
umbrella. The MLOps contribution to the project will relate to developing ML models, refactoring and optimizing existing ML... models, and affecting model life cycle management around project components that use prebuilt AI. The initial phase...
model architecture, training, and deployment approach for vision and VLM workloads, advancing it as the field advances...-and-build than to open-ended research: the ML/VLM models you build and tune run in customer plants under real-time, on-premises...
& Android), API, cloud-native/containerized, and AI/LLM-integrated applications Assess AI/ML and generative AI-powered features... for risks such as prompt injection, insecure output handling, training data poisoning, model denial of service, and sensitive...