Machine Learning Ops Engineer
Capgemini Polska
⚲ Gdańsk, Poznań, Wrocław
Wymagania
- Git
- CI/CD Tools
- Kubernetes
- Docker
- TensorFlow
Opis stanowiska
Nasze wymagania: 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). O projekcie: 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. Zakres obowiązków: 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. Oferujemy: 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.