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    Model Ops Development Engineer - Dallas, United States - Uplandcapgroup

    Uplandcapgroup
    Uplandcapgroup Dallas, United States

    4 weeks ago

    Default job background
    Description
    Full Time Employment Opportunity


    Primary Function:
    Our Data Science and Actuarial model environment and architecture is containerized, and we are cloud based, running on Azure. We aim to be completely automated processes to build, provision, and deploy our models and products.

    Our models will range from standard AI and ML models, to RL, to Bayesian simulation models which will require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a 'one size fits all' mindset.

    You will report to the Lead Model Engineer.

    Duties and Responsibilities:
    Build on a fully containerized

    model architecture
    Learn provisioning of

    applications through Infrastructure as Code
    Work with and develop a modern

    CI/CD model pipeline
    Structure workflows through a

    flow tool through DAGs
    Provision data stores and APIs

    unique to data science models
    Develop new forms of data applications

    and stores useful for DS and Act models
    Manage container and model


    security (Ex:
    Snyk, Scout)

    Other duties assigned by management

    Experience, Education, Special Skills Required:
    A Master's degree with 2-5 years

    experience


    OR
    a Bachelor's degree with 5-8 years experience
    Computer Science

    degree or related field, or equivalent experience
    2-5 years of

    experience as a Backend or DevOps Engineer
    Strong

    experience working with relational (SQL) and non-relational (NoSQL) databases
    Strong knowledge

    of API security models and authentication in a distributed system
    Experience with

    asynchronous architectures using events, workers, and job queues
    Understanding of

    communication patterns in a distributed system, and reliability practices
    Experience

    developing and maintaining lightweight containerized applications using

    Docker
    Understanding of

    the cloud and experience working with cloud-based architectures
    Writing

    automated unit and integration tests, strong scripting skills
    Knowledge of Agile

    development practices using Git and project management tools like Jira
    Solid knowledge

    of Unix / Linux commands and ability to work in terminal, especially

    server side

    Bonus Skills:
    Experience with

    GraphQL, Kubernetes, distributed compute architectures
    Experience with

    vector databases
    Hands-on

    knowledge of CI/CD with GitHub Actions or other tools like Jenkins,CircleCI,

    or GitLab CI/CD
    Experience with

    alerting and monitoring tools like Sentry, DataDog, Logstash
    Hands on

    experience with Azure
    Experience with

    Go or Scala
    Experience

    working at a tech start-up or financial services

    #J-18808-Ljbffr
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