SWE DATA / Robotics & AI: Senior MLOps Engineer

Job-ID: 208865

SWE DATA / Robotics & AI: Senior MLOps Engineer

  • #Machine_Learning;Continuous_Deployment;Engineer
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Senior MLOps engineer
Deutsche Telekom is a recognized industry leader in transforming its network infrastructure to the open APIs, hardware/software disaggregated and cloud-native architecture.
Deutsche Telekom has different international subsidiaries in more than 40 countries with over 210 000 employees.
Point of production in Thessaloniki, Greece was founded in 2022, and now it works on challenging projects delivering value to products and services under brand of Deutsche Telekom.
Robotics & AI Hub offers Front End Assistant / RPA / RDA / IPA Services and artificial intelligence for our internal customers.
We are looking for a Senior Software Engineer Agile in the area of AI and ML with the respective Skill set in the area of CI/CD and Kubernetes on autmated infrastructures (e.g. AWS). The candidate will have the chance to grow into emerging technologies of AI as well.
Location: flexible, major Tel-IT locations preferred
Team/ work mode description: Hub / SAFe / Scrum-Mode
Starting and “end” date: open end

Profil

Required:

  • Knowledge about automation AI/ML -Setting up Machine Learning pipelines
  • Experience in setting-up up CI/CD pipelines - private and public cloud providers (e.g. AWS)
  • Experience in implementing Continuous Deployment (automation, and SW quality aspects)
  • Familiar with managing and configuring GitLab pipelines
  • Open to discuss technical solutions and share knowledge with other developers
  • A love of change: since we work for clients, briefs and requirements can change
  • Experience in Python (at least 1 year)
  • Experience in programming (at least 3 years)
  • Container architectures (K8S Docker)
  • Ingress Control
  • Templating of k8s manifests
  • Exposure to public cloud providers ideally AWS
  • Experience in logging and monitoring (ELK)
  • Experience in developing/consuming RESTful API
  • Docker Security
  • Linux experience
  • Converting code from Data scientist into software components (e.g. Kubeflow)


Optional skills which can provide a +:

  • Knowledge about MLOPs, ML pipeline
  • Apache/Cloudera
  • Basic Frontend experience in order to adapt config interfaces
  • Kubeflow


Keywords:
Docker, MlOps, Kubeflow, MLFlow, DataRobot, Apache/Cloudera, Python, AWS, Cloud, Linux, Keras, PyTorch, Tensorflow
SWE DATA / Robotics & AI: Senior MLOps engineer

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About T-Digital

Deutsche Telekom Cloud Services (Greece) is a part of Deutsche Telekom, one of the biggest European telecommunications companies.
Deutsche Telekom has different international subsidiaries in more than 40 countries with over 210 000 employees.

Point of production in Thessaloniki, Greece was founded in 2022, and now it works on challenging projects delivering value to products and services under brand of Deutsche Telekom.

Data Privacy Information and Consent with Processing of Personal Data

Please be informed that by replying to the job offer, the company Deutsche Telekom Cloud Services EPE. with its registered seat at 9 Fragkoklisias Str., 15125, Marousi of Attica, ID no. 134112901000 / 300378  (the “Company”) will process, as a controller, your personal data in the following scope: academic title, name, surname, photography, contact details (e-mail address, address, phone number), information about achieved education, previous working experience, other information that are included in your CV/motivation letter, information obtained during the online assessment, and so for the purpose of participation in a selection process for the job position that you are applying for.

Your personal data will be processed for the period of 6 months. Legal basis for processing of your personal data is the legitimate interest of the Company under art. 6(1)(f) of GDPR to select the right candidate for the vacant position from all job applicants. Please note that processing of personal data is prerequisite for participation in selection process. If you do not provide us with your data, you cannot participate in the selection process for concrete job position. Your personal data will not be subject to automated decision making and profiling.

Your personal data will be provided only to the following recipients belonging to Deutsche Telekom AG Group. You can find the information about entities belonging to Deutsche Telekom AG Group on the following link. If you participate in online assessment, your personal data may be transferred also to the USA to HireVue Inc., 10876 S River Front Pkwy Ste 600 South Jordan, Utah 84095, United States, and so based on EU standard contractual clauses and additional safeguards.

With respect to the processing of your personal data you have the following rights: (i) to request access to your personal data, (ii) to correct your personal data, (iii) to erase your personal data, (iv) to limit the processing of your personal data, (v) to object processing of your personal data, (vi) to the portability of your personal data, (vii) to file a complaint with the competent supervisory authority, (viii) to withdraw your consent with processing, if granted.

Contact for provision of additional information about the protection and processing of your personal data is pan-net.greece.privacy@pan-net.eu. Additional information about data privacy you can find on the following link.

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