6 data scientist jobs found

Description SAIC is seeking a Top s ecret cleared AI/Machine Learning Subject Matter Expert in support of NAVWAR's Naval Operational Architecture (NOA) Program in San Diego, CA. In this role, you'll help drive the innovation of autonomous, AI-enabled systems for the Naval Operational Architecture that supports distributed maritime operations. You will translate sensor-derived data into real-time decision triggers, supporting initiatives. Your contributions will play a pivotal role in enhancing the Navy's command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support. This is a recently awarded contract, funded for five years. Work is performed on site in San Diego, CA. Please view our program page for more information and to view all open positions available: company website Job Duties:...

Description USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms is looking for a SETA with project level AI experience and expertise. Job Description: Evaluate advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems. Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs. Develop briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations. Provide acquisition advisory services during technical and cost evaluations of proposals Design, train, and test machine learning models and algorithms. Integrate AI models into existing software systems,...

Basic Qualifications Education Requirements: Requires a Bachelor’s degree in Engineering, or a related Science, Technology or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience.     Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position The Deep Learning Analytics (DLA) at General Dynamics Mission Systems is actively seeking a Senior Advanced MLOps Engineer to produce, manage, and scale the full ML lifecycle.   Key Responsibilities: Model Deployment:  Deploy machine learning solutions into production in diverse environments, ensuring they operate correctly and efficiently. Automation:  Use tools to automate ML workflows and setting up CI/CD pipelines, including data preprocessing, model training, and model serving. Monitoring:  Continuously monitor the...

Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job...

Description: THE WORK The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a...

Description: Job Description The Mechanical Design subject matter expert will serve as the technical authority for the Advanced Programs team with a focus on mechanical part designs. The ME SME will lead complex mechanical design efforts, drive integration of structures, mechanisms, and ensure that designs meet performance, reliability, producibility, and cost targets. Our team operates at the forefront of technology, tasked with creating capabilities that do not yet exist. In this position you will collaborate closely with design teams to embed Design for Manufacturability (DFM) principles into every mechanical‑engineering project. By applying extensive hands‑on machining experience and advanced engineering expertise, you will ensure that designs are cost‑effective, high‑quality, and suitable for high‑volume production while preserving performance and reliability. You will possess a strong grasp of NC machining programs and will continuously elevate design standards across...