10 ai ml infrastructure engineer jobs found

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses...

Job Description Advanced Research Computing (ARC) provides Virginia Tech researchers with access to high-performance computing systems, data storage, visualization facilities, and expert support. We help faculty and students across all disciplines get the most out of advanced computing tools. The Research Software Engineer, AI/ML builds and maintains our AI and machine learning infrastructure. You'll deploy and optimize LLMs, set up ML platforms, and help researchers integrate AI into their workflows. This is a hands-on role where you'll tackle varied challenges across AI services and grow your skills alongside the team. You will work directly with faculty, Computational Scientists, and the rest of the ARC team to make AI tools accessible and useful for research. The role also involves leading workshops and training to help more people use AI effectively. Please note: Sponsorship is not available for this position. This is a...

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems,...

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and...

Job Description Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing AI powered services that scale our OCI operations. You will work with other senior engineers to implement scalable services/applications, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Why Join Us Gain hands-on experience with cutting-edge AI and cloud infrastructure Collaborate with experienced engineers and scientists across OCI Work in a supportive environment with strong opportunities for learning and career growth Help shape...

Job Description Oracle Cloud Infrastructure (OCI) Transformation & Delivery is building a high-impact engineering team to support our Zero Process Oracle (ZPO) initiative-a program focused on streamlining and improving critical business processes across the organization. We are seeking a Principal Software Engineer who thrives in ambiguity, ships early and often, and leads by example to deliver measurable business results. This is not a research role. You will design, build, and operate reliable, secure systems at scale that directly support process improvement across Oracle. You'll drive rapid iteration through MVPs and learning loops, establish engineering best practices, and influence teams across the organization. If you have a bias for action and want to see your work create visible, organization-wide impact-this is your opportunity. Career Level: IC4 Responsibilities Responsibilities Design and build internal tooling and platforms that support...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Senior AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Virginia, Reston Position ID: J0326-0114 Employment Type: Full Time U.S. - Finding purpose at CGI (https://youtu.be/7gAvvUSJyJA) By playing this video you consent to Google/YouTube processing your data and using cookies -Learn more (xweb.asp?clid=21001&page=cookiespolicy#integrationofyoutube) . Position Description: CGI has an immediate need for a Senior AI/ML Engineer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in Reston, VA. A hybrid working model is acceptable. Your...

Description The U.S. Navy's Service Management, Integration, and Transport (SMIT) program has an opening for a Site Reliability Automation and Orchestration Engineer on a high-visibility DoD program that provides engineering support to the Navy Marine Corps Intranet (NMCI), the largest information technology (IT) network in the world. This position will provide many opportunities to challenge and grow your skills. The AI Reliability Engineer (AI-SRE) is responsible for integrating artificial intelligence and machine learning capabilities into Site Reliability Engineering (SRE) operations to improve system reliability, availability, performance, and operational efficiency. This role serves as a horizontal enabler across SRE pods, leveraging AI-driven insights to reduce operational toil, accelerating incident response, enhance observability, and enable predictive reliability engineering. The AI-SRE partners closely with infrastructure, network, application, cyber, and...

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME Software Developer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging...