This job board retrieves part of its jobs from: Toronto Jobs | Emplois Montréal | IT Jobs Canada

Showing you new job offers everyday

To post a job, login or create an account |  Post a Job

Capital One: Sr. Distinguished Engineer – Machine Learning Platform

Capital One

This is a Full-time position in Chelmsford, MA posted September 13, 2021.

11 West 19th Street (22008), United States of America, New York, New YorkSr.

Distinguished Engineer Machine Learning PlatformCapital One is committed to becoming a leader in machine learning, using it to deliver world-class financial services products and experiences to our customers.

We are seeking a Sr.

Distinguished Engineer to work on our Machine Learning Platform and help lead, build and drive this transformation across our entire company.

This individual will be part of our technology organization, and will lead teams building ML platforms and tools that transform the way we make decisions.Capital Ones technology organization leads the financial services industry.

We have adopted public cloud (AWS) for our technology infrastructure, and this provides the compute and storage capabilities necessary to power machine learningat a scale and speed that was not previously possible.

We are undertaking a massive transformation in our data ecosystem to enable real-time streaming data and modern analytics platforms that can handle the volume and variety of data available at Capital One.

We have recruited the best technology talent in financial services.

We are increasingly becoming a platform-oriented company with data and machine learning platforms as key drivers for our business.At Capital One we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry.

Capital Ones commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company.At Capital One, diversity, inclusion and belonging are valued at our core.

We empower our associates to do great work by creating an inclusive culture we call this our Culture of Belonging, and it rests at the heart of our Diversity, and Inclusion & Belonging (DIB) efforts.

It is of paramount importance that this individual values diverse perspectives, fosters collaboration and encourages innovative ideas and can create a place where associates of all backgrounds can thrive by bringing their most authentic selves to work.Our Distinguished Engineers Are:Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practicesVisionaries, collaborating on and solving Capital Ones toughest issues, to deliver on business needs that directly impact the lives of millions of our customers and associatesRole models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityEvangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilitiesLeaders who gain the trust and confidence of those around them, from hands on engineers to executivesResponsibilities:Establish a world-class competency in machine learning platforms and tooling at Capital One by helping to build and lead a team of the brightest minds in machine learning and engineeringBuild the vision and the roadmap, defining what the priorities should be, and creating both near-term and long-term wins from the application of machine learningAs a naturally curious leader, stay abreast of and determine how to fully leverage existing and emerging machine learning techniques and frameworks to continuously keep us at the forefrontCreate a robust operating model for machine learning applications that provides a clear development path from POC to prototype to full enterprise-class capabilitiesNurture a healthy collaborative engineering culture, and provide transparency to business and technology leaders on selection and prioritization of machine learning capabilities and their progressPartner with the enterprise risk partners to stand up proper governance and oversight of machine learning capabilitiesBasic Qualifications:Bachelors DegreeAt least 8 years of experience developing software systems or platformsAt least 3 years of experience with Microservices architectureAt least 2 years of experience with KubernetesAt least 2 years of experience with AWSPreferred Qualifications:Masters or PhD in Machine Learning or Artificial Intelligence15+ years of experience architecting and developing software systems or platforms6+ years of experience with Python4+ years of experience with machine learning platforms and core technologies4+ years of experience in Machine Learning4+ years of experience with Kubernetes4+ years of experience with Docker3+ years of experience with Go3+ years of experience developing machine learning algorithms and models using C++ or Python and Scikit-learn, PyTorch, Keras, or Tensorflow3+ years of experience in AWSCapital One will consider sponsoring a new qualified applicant for employment authorization for this positionby Jobble