Job details
Job type full-time
Full job description
Who is ventera? we are a premier technology consulting company based in the dc metro area specializing in delivering mission-critical enterprise digital services in the areas of application and system modernization, advanced analytics, devsecops, cloud enablement, and user-centered agile development (ucad)We have been in business for over 25 years with a proven track record of solving complex problems for large enterprisesWe have an exciting opportunity with us as a cloud engineer supporting a long term federal engagementPosition can be us based remoteSelected candidate must be able to pass a background check and be eligible to receive a public trust level clearance.
As a cloud engineer, you will build and own the end-to-end machine learning pipeline together
With ci/cd for our ml engineering processYou serve as a technical resource for machine
Learning engineers, you focus on infrastructure provisioning, code, data pipelines, versioning of
Datasets, models and production endpoints to allow ml engineers to collaborate, experiment and
Scale fastYou will develop systems, tools, & processes to monitor ml models, monitoring drift
And performance and initiating retraining and validation, as necessary.
Responsibilities:
Design, build, manage, monitor, and troubleshoot machine learning infrastructureMl
Pipeline automation.
Continuous integration for machine learning projects
Continuous delivery for machine learning projects
Improve and advance dataops and mlops infrastructure and operational processes.
Qualifications:
Bs degree in computer sciences (or related technical degree with industry experience).
4+ years of hands-on industry experience.
Strong proficiency with python.
Experience with docker, kubernetes clusters and implementing ci/cd or devops
Solutions.
1+ years of experience with kubernetes.
Strong proficiency with jenkins or other build tools.
Experience with infrastructure as code tools such as terraform, cloudformation.
Experience with aws.
Nice to have:
Experience with spark and/or databricks.
Experience with sagemaker, kubeflow or mlflow.
Experience building data or mlops pipelines.
Exposure to machine learning concepts (feature engineering, data integration, selection,
Cleaning and pre-processing) and frameworks with interest in learning more.
Perks of working at ventera:
Inclusive culture, providing a great work/life balance
Flexible work schedules
100% paid medical, dental & vision coverage for employee
5 weeks of pto & unlimited sick leave
Bi-annual bonus structure
Career coach development program
Educational benefits for trainings, conferences, certifications, tuition etc.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Job type: full-time
Work location: multiple locations
