Machine Learning Ops EngineerCapgemini Polska • Wrocław, Lower Silesia, Poland
Machine Learning Ops Engineer
Capgemini Polska • Wrocław, Lower Silesia, Poland
30+ days ago
Job description
technologies-expected :
Git
CI / CD Tools
Kubernetes
Docker
TensorFlow
about-project :
Application Development & Maintenance (ADM Center) provides comprehensive end-to-end IT services from business specification, through software development, implementation, to application maintenance using leading it technologies and management methods.
We enthusiastically institute solutions in the fields of DevOps, SRE, low-code, broadly understood Automation and AI.
The complexity and diversity of solutions allows to build close relationships with our clients on various levels, while also to give employees the opportunity to develop in a wide range of career paths. Our development teams are highly self-organizing and independent, capable in agile and lean software engineering practices.
responsibilities :
ensuring that machine learning models are efficiently deployed and maintained in the environments;
Automating deployment of machine learning models to environments, updates;
implementing CI / CD pipelines for ML Models;
setting up monitoring and logging for ML Models;
optimizing ML Models.
requirements-expected :
master’s, engineer’s, or bachelor’s degree;
at least 4 years of experience in working with CI / CD and / or cloud technologies;
GIT, CI / CD Tools, Kubernetes, Docker, Machine Learning Frameworks (e.g. TensorFlow), mOnitoring and Logging Tools, IaC;
good written and verbal communication skills (min. B2 English).
offered :
Practical benefits : permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;
Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB
Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others : Salesforce, Java, Cloud, IoT, Agile, AI.
benefits :
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
integration events
corporate sports team
no dress code
parking space for employees
extra social benefits
sharing the costs of tickets to the movies, theater
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