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Machine Learning Engineer (all genders)

Machine Learning Engineer (all genders)

Machine Learning Engineer (all genders)

Machine Learning Engineer (all genders)

PŸUR

Telekommunikation

Leipzig

  • Art der Beschäftigung: Vollzeit
  • 52.000 € – 71.000 € (von XING geschätzt)
  • Home-Office
  • Zu den Ersten gehören

Machine Learning Engineer (all genders)

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Job Description

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About Tele Columbus AG:
Tele Columbus AG is one of Germany's leading fiber optic network operators, reaching more than three million households.
Under the PŸUR brand, the company offers high-speed internet including telephone service, as well as more than 200 TV channels on a digital entertainment platform that combines traditional television with on-demand video entertainment.
Based on open networks, the Tele Columbus Group collaborates with housing associations and municipalities to implement customized partnership models for high-performance gigabit broadband connections via fiber optics directly to homes (FTTH).
For business customers, the PŸUR Business brand provides carrier services and enterprise solutions based on its own fiber optic network and data centers.
The entire Tele Columbus Group infrastructure is powered entirely by renewable energy. Tele Columbus AG is headquartered in Berlin and has branches in Leipzig, Unterföhring, Hamburg, Ratingen, and Chemnitz.

Are you looking for an innovative employer in a modern work environment, with interesting tasks and development opportunities? Then apply now!

We are looking for a dedicated individual to join our team in the Leipzig area or remotely as soon as possible.

Machine Learning Engineer (all genders)
Permanent, full-time position (40 hours per week)

We offer you:

  • Support- Individual support and further development of employees in the PŸUR training academy
  • Benefits- Various financial benefits such as childcare subsidy, company pension scheme, travel allowance, bank account fees
  • Corporate Benefits- Discounts for our employees at well-known companies via benefit portals with attractive offers from strong partners, brands and products.
  • Added value- Mobile work models / home office options with modern IT equipment, flextime, flexible and/or part-time arrangements as well as 30 vacation days
  • Mobility- Good public transport connections and free parking for employees
  • Responsibility- Company sports programs, health prevention and a high awareness of prioritizing sustainability issues such as climate protection
  • Atmosphere- team spirit and an open environment to contribute ideas, potential and strengths profitably, internal informal culture

Your future responsibilities:

  • You are responsible for the conception, architecture, and operation of data-driven solutions.
  • Together with the Data Science Team, you will further develop our LLM infrastructure and implement use cases with it.
  • This involves gathering the requirements of the specialist departments, translating them into technical and methodological requirements, identifying appropriate solutions together with your project team, and implementing them using agile methods.
  • You use modern tools and methods of professional software development to write high-quality code and enable data-driven decision-making.
  • You develop best practices and ensure professional project and knowledge management.

Our expectations of you:

  • University degree in physics, mathematics, computer science, industrial engineering or a comparable qualification
  • Solid experience in the field of Data Science / Machine Learning
  • Experience in creating, deploying, and maintaining ML models in production
  • Excellent knowledge of Python and SQL, as well as in the application of machine learning frameworks.
  • Strong analytical skills and a high affinity for numbers
  • Excellent communication skills and very good German language skills

Have we sparked your interest? Are you looking for a new challenge?
Then apply quickly and easily with your documents via our application form.
www.pyur.com

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Unternehmens-Details

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PŸUR

Telekommunikation

Deutschland

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