Machine Learning Engineer

Standort: Lithuania Gehalt: €40 - €45 per hour
Bereich: Consultancy Bereich: Freiberufler
Reference #: CR/081183_1623421517

Machine Learning Engineer / Fully remote / 3-6 months / Start ASAP


Contractors will be part of the Commercial Analytics squad working in multiple
countries. The main responsibility is to
1. - Help deploy and operate prioritised models to PROD
2. - Educate CoE in DE and MLOps best practices and help draw up internal guidelines
3. - Assist in pipeline foundation development or tailoring to ACA CoE needs together
with the infrastructure department:
a. Data pipelines
b. CI/CD
c. Scheduling
d. Monitoring
All this to ensure the Advanced Commercial Analytics department reaches it
commercial goals in 2021.You main responsibility will be to build the pipelines for
the statistical models utilizing the existing tech stack as well as bringing your
experience into play to leverage new technologies. All tasks will be solved as part
of multifunctional DevOps squads consisting of broad capabilities delivering end to
end Data Science solutions. You will therefore be working closely with experienced
Data Scientists and Machine Learning Operations Engineers as well as the
business units who are consuming the data science services.


We are looking for anMLOps Engineer with a solid experience in CI/CD within Data
Science and having experience in working in agile setup.

Required competences:

 Version control (Git/Bitbucket)
 CI/CD tools (Azure DevOps, Jenkins, or similar)
 Code analysis and unit testing toolkit (e.g., PyLint & PyTest, SonarQube)
 Model registry (e.g., Artifactory, MLflow)
 Workflow orchestration using Airflow or similar
 Monitoring (e.g., Prometheus, Grafana, AppDynamics)
 experience with Public Cloud (Either Azure/AWS/GCP)
 understanding of Feature stores (e.g., Hopsworks/Iguazio/FEAST)
 Container technologies (Docker/Kubernetes/OpenShift)
 Strong Python knowledge (incl PySPark)
 Linux/Bash
IT Consultancy Request FORM
 Strong Python knowledge (incl PySpark)