Machine Learning Ops Engineer

Technologies we use

About the project

Your 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.

Our requirements

• 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).

What we offer

• 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