Machine Learning Engineer
Posted on Aug 14, 2019 by Capital One
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Machine Learning Engineer Responsibilities:
End-to-end/full stack software solutions development and deployment of our Machine Learning (ML) and Artificial Intelligence (AI) algorithms.
Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues.
Lead multiple software development initiatives at any given time, serving as an expert for the escalation of complex application design and development issues.
Provide active mentorship/guidance to junior members of the Agile Tech team and participate in internal and external technology communities.
Work with product owners to understand desired application capabilities and testing scenarios, and define, establish, and execute against strategic technical management and business delivery roadmaps, actively managing data risks, issues, and impediments.
Present project metrics, complex ML and AI concepts to both technical and non-technical audiences.
Bachelor s Degree
At least 2 years of open source Machine Learning algorithm development experience in Python and AWS
At least 2 years of Regression analysis, Non-parametric, Bayesian Statistics, or Applied Probabilities
At least 2 years of hands on experience with Redshift tables and PostgreSQL tables
At least 2 years of experience in Continuous Integration/Continuous Development, Test Automation, Build Automation, and Test-Driven Development.
At least 2 years of deployment in AWS Cloud computing environments
Ph.D. in Computer Science, Engineering, Information Systems, Physics or Mathematics discipline
4+ years of experience in software development using Python, Scala, Java, RESTful API, Apache, Spark, Kafka and Microservices
4+ years of experience with the full AWS stack and distributed Big Data technologies such as: Hadoop, Python, Hive or Cloudera
Experience with Tensorflow
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
Associated topics: application developer, architect, backend, design pattern, java, lead, php, project architect, senior software developer, senior software engineer