Space Coast Credit Union - Jacksonville, FL

posted about 1 month ago

Part-time
Jacksonville, FL
Credit Intermediation and Related Activities

About the position

As an ML Ops Engineer with the Advanced Analytics Group (AAG) at VyStar, you will be joining a dynamic and passionate team dedicated to enhancing the advanced analytics function within the organization. Your primary responsibility will be to ensure the smooth productionization and deployment of data science assets, which is critical to delivering exceptional service and value to our members. In this role, you will own the end-to-end Machine Learning Pipeline, including Continuous Integration (CI) and Continuous Delivery (CD) processes for our ML Engineering efforts. This involves focusing on code management, versioning of datasets, models, and production endpoints, enabling data science teams to collaborate effectively, experiment, and scale rapidly. You will participate in an agile team environment, contributing to the development, testing, and implementation of various data science initiatives. Your role will include designing architecture and engaging in high-level design discussions to support the Data Science infrastructure. You will be responsible for authoring and socializing technical designs and specifications with all relevant stakeholders, ensuring that the infrastructure is ready for deployment and adheres to established policies. Additionally, you will maintain, support, and modify existing models, APIs, and ML Flow systems, while also improving and advancing DataOps and MLOps infrastructure and operational processes. Your work will involve debugging code, performing thorough unit and integration tests, and validating systems using bug tracking tools. You will also participate in Agile ceremonies, such as lessons learned and retrospectives, to continuously improve team processes and outcomes. This position is essential for the AAG's mission to deliver predictive and prescriptive analytics solutions that enhance the overall member experience at VyStar.

Responsibilities

  • Participates in agile team for development, testing and implementation of Data Science efforts.
  • Design architecture and participate in high level design discussions supporting Data Science infrastructure.
  • Author and socialize technical designs and specifications with all data science stakeholders.
  • Operate as key ML Operations Engineer on modeling efforts across multiple teams.
  • Debug code and perform thorough and proper unit and integration tests on advanced analytics supporting infrastructure.
  • Work with teams to validate and test systems using bug tracking tools and issue priority management.
  • Ensure component infrastructure readiness for deployment and adhere deployment policies.
  • Participate in Agile ceremonies such as lessons learned, backlog and retrospective.
  • Maintain, support, and modify existing models, APIs, and ML Flow systems.
  • Model deployment and tracking using ML Pipeline automation.
  • Implement Continuous Integration (CI) for Machine Learning projects.
  • Implement Continuous Delivery (CD) for Machine Learning projects.
  • Improve and advance DataOps and MLOps infrastructure and operational processes.
  • Analyze requirements and leverage technology decisions against known or future infrastructure requirements.

Requirements

  • 2+ years of experience in applied ML Ops
  • 2+ years of experience in modeling EDA to productionized deliverable
  • 2+ years of experience with Git or advanced branch management
  • 8+ years of general programming experience
  • 2+ years of experience using Python, R
  • 4+ years of design and implementation of REST, JSON and supporting Python framework
  • 1+ year of DevOps or Jira experience
  • 2+ years of SQL experience
  • Exposure to cloud and understanding of IAAS, SAAS and PAAS.

Nice-to-haves

  • Experience with agile methodology and operational board management
  • Experience with mathematical models and the technical details of deployments
  • Experience in the financial industry
  • Dashboarding experience such as PowerBI
  • Programming languages such as .Net, Java, Scala and Lisp (Clojure, HY)
  • Experience with Kubernetes and containerization
  • Experience with other Cloud ecosystems such as AWS and Google
  • Frontend development experience (JavaScript, React, Vue)

Benefits

  • 401(k) Plan
  • Extensive paid technical and on-the-job training program
  • Tuition reimbursement available to all full and part time employees
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