Senior (AI/ML/BAYES) Model Engineer and Dev-Ops Lead
Company: UPLAND CAPITAL GROUP INC
Location: Dallas
Posted on: March 19, 2023
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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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