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Senior (AI/ML/BAYES) Model Engineer and Dev-Ops Lead

Location: Dallas
Posted on: March 19, 2023

Job Description:

Every engineer is empowered to own the full lifecycle of the model, from supporting development, building and testing, to provisioning environments, to monitoring models when they are deployed.
Our Stack Our Data Science and Actuarial model environment and architecture is containerized, and we are cloud based, running on Azure. We aim to have completely automated processes to build, provision, and deploy our models. Our models will range from parametric, ML, RL, Bayesian, to large simulation models which will each require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a 'one size fits all' mindset.
What You'll Do: 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 (Airflow, Luigi, - Argo --- ), through DAGs Provision data stores and APIs unique to data science and actuarial models Develop new forms of data applications and stores useful for DS and Actuarial models Manage container and model security (Snyk ---. )
Who You Are: Computer Science degree or related field, or equivalent experience 5+ years of experience as a Backend, Data, or Dev-Ops Engineer Strong knowledge of Python Strong experience working with relational (SQL) databases Strong knowledge 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 Experience developing containerized applications using Docker Understanding of the cloud and experience working with cloud based architectures Writing automated unit and integration tests 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 Experience with NoSQL DBs, columnar DBs, graph DBs Hands-on knowledge of CI/CD with Github/Azure Actions Experience with alerting and monitoring tools like Sentry, DataDog Hands on experience with Azure Experience working at a start-up or financial services in a lead role Knowledge of Julia and R

Keywords: UPLAND CAPITAL GROUP INC, Dallas , Senior (AI/ML/BAYES) Model Engineer and Dev-Ops Lead, Engineering , Dallas, Texas

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