Tracks & Fields Gehalt

Unternehmensbewertung
basierend auf 0 Sterne-Erfahrungen
4 Bewertungen insgesamt
  Berlin
Swinemünder Straße 121, 10435 Berlin
Telefon:  +49 30 61288240
  https://www.tracksandfields.com
MwSt-IdNr.: Berlin (Charlottenburg) HRB 113924
  Medien und Kommunikation
Unternehmensbewertung
basierend auf 0 Sterne-Erfahrungen
4 Bewertungen insgesamt

Gehalt aus Positionen in Tracks & Fields

Tracks & Fields rekrutiert für Positionen:

Social Media Manager

Anforderung

  • proven experience in in content writing for social media, blog and web outlets
  • Knowing how social media work in order to get people attracted to our content
  • also well-versed in writing longer, fact-driven articles, ideally in the B2B space in English
  • interesting writing style
  • perfect English, ideally a native speaker
  • an ambitious work environment: we want to win projects, client’s hearts and awards
  • strong research and analytical skills to write pieces that are relevant to an audience already educated in their fields
  • Please send links to 5-10 published pieces of content you have written

Producer

Anforderung

  • previous experience as producer
  • a highly organized multi-tasker, reliable in keeping deadlines
  • efficient and clear in communication
  • tenacity in delivering high standards of work outcome
  • an enthusiastic character that self-reliantly finds a solution even in stressful situations
  • knowing how to “speak music”, i.e. translating client requirements into instructions for the musician
  • fluent in German and English, additional language is a plus
  • an ambitious work environment: we want to win projects, client’s hearts and awards

Automation engineer

Sprache

  • englisch

Vertragstyp

  • Vollzeit

Anforderung

  • Analytical Skills: Strong problem-solving skills with the ability to design and implement efficient AI-driven solutions
  • Programming Skills: Strong proficiency in Python, with experience in scripting for automation and system integrations. Knowledge of other programming languages is a plus
  • Experience with audio data processing and analysis in the context of the music industry is a plus
  • Experience with multi-task AI architectures and integrating various models into cohesive workflows
  • Familiarity with containerization platforms like Docker and Kubernetes for managing AI systems in an on-premise setting
  • AI and Machine Learning: Proficient with frameworks such as TensorFlow, PyTorch, and experience with deploying models in on-premise environments. Familiarity with contemporary AI models is highly desirable