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Sr. ML Ops Engineer (REMOTE)

Company: Under Armour
Location: Baltimore
Posted on: January 16, 2022

Job Description:

Position Summary
We are seeking a Sr. ML Ops Engineer to work with the Data Science team to enhance our data driven decision making culture underpinned by predictive analytics This next stage in our evolution will focus on using ML models and our transaction level data (and other types) to provide optimal personalization, recommendations and automation.
Essential Duties & Responsibilities

  • Collaborate with data engineers, data scientists, and technical leads to develop and deliver cloud-based solutions to support scalable and reliable data science workflows.
  • Partner with Data Engineering to produce data pipelines
  • Design machine learning model artifact and feature stores in collaboration with enterprise data scientists
  • Implement a robust system for measuring and optimizing the quality of deployed algorithms and models.
  • Build and maintain the CI/CD pipeline for ML; Institute a process to handle model development, with an emphasis on auditability, versioning and data security
  • Own the design and implementation of enterprise MLOps, including mentoring and directing junior engineers
    Qualifications (Knowledge, Skills & Abilities)
    • 5+ years of experience training, deploying, and monitoring end to end machine learning pipelines with extensive knowledge of evaluation metrics and best practices
    • A strong DevOps, Data, and ML background. Familiar with best practices in applying DevOps methodology in the Data and ML spaces.---
    • Collaborate with data scientists to help integrate MLOps into the model development process and assist in setting best practices to support scalable data science solutions.---
    • Experience building and maintaining CI/CD pipelines for ML use cases, including building, deploying, maintaining and monitoring ML solutions in production.---
    • Experience building and maintaining containerized images (e.g., Docker), particularly support ML infrastructure in AWS (Lambda/SageMaker).
    • Experience with infrastructure as code (e.g., Terraform).---
    • Experienced with Model Lifecycle Management tools, such as MLFlow / SageMaker Studio.---
    • Experienced with Orchestration tools such as Airflow and SageMaker Pipelines.
    • Strong experience with cloud infrastructure with a strong preference for AWS including services such as Lambda, EC2, SageMaker, ECR, Cloudwatch.
    • Strong communication skills and ability to work with ambiguity.---
    • Able to provide direction/support to more junior engineers.
    • Understanding of data structures, data modeling and software architecture.
    • Experience with relational SQL databases, e.g., Snowflake, AWS RDS.
    • Experience supporting Batch Prediction Models, Real-Time prediction models is a plus
    • Experience developing API's in Python a plus
    • Experience with GitHub Actions is a plus, but strong experience with at least one CI/CD platform is a must.---
    • Able to support a team that utilizes both Python and R.---
      Education And / Or Experience
      • B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering).
        D Are Preferred, But Not Required
        • M.S. or Ph.
          • Relocation may be provided up to a specified amount
            At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Keywords: Under Armour, Baltimore , Sr. ML Ops Engineer (REMOTE), Engineering , Baltimore, Maryland

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