Which challenges are expecting you:
• You will be applying machine learning approaches for forecasting and visualizing data in Python to provide business insights for internal customers of the Deutsche Telekom group
• You will be responsible for selecting the right modelling approaches specifically on signal data and data such as energy consumption, building temperatures, weather
• You prepare the training & evaluation pipelines and apply state of the art Machine Learning approaches to improve forecasts for energy consumption, price developments and optimization of energy usage in buildings
• Deploying final models to production, teaching the users how to use them and providing support/maintenance is another challenge in this job
• You will cooperate with the business domain users and actively contribute to customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
• Participation in team brainstorming sessions, code reviews, and pair programming sessions
We work in a HYBRID STYLE of working with an unlimited home office, but twice a week we meet in the office in Košice or Bratislava for meetings.
The published salary is the minimum possible offer.
The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).