Distinguished Machine Learning Engineer

Distinguished Machine Learning EngineerAs a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.You will work alongside our talented team of developers, machine learning experts, product managers, and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate, and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms, and capability domains, creating clear and concise communications, code samples, blog posts, and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.In this role, you will be supporting the Bank Tech organization. You will lead development and implementation that will enable business initiatives, working with other leaders and teams across the enterprise to enable these solutions.As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities.Key Responsibilities : Articulate and evangelize a bold technical vision for your domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability, and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactAct as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityExplore new cloud technologies and identify applications to leverage their potentialDevelop patterns for cloud to enable emerging business initiativesCollaborate with tech leaders to drive tech strategyEvangelize cloud strategy, solutions, and best practices across the enterpriseBasic Qualifications : Bachelor’s DegreeAt least 7 years of experience with solution architecture or software engineeringAt least 5 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 3 years of experience with Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn)Preferred Qualifications : Master's Degree in Computer Science or a related field10 years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment, and production support7 years of experience using Python or Java, or Go, and SQL6 years of experience in Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn, etc.)3 years of experience with Kafka, Airflow, Spark, AWS Glue / Kinesis3 years of experience with streaming and event-driven technologies1 year of experience deploying machine learning modelsCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.#J-18808-Ljbffr