Machine Learning Engineer / Machine Learning Specialist

Stellenbeschreibung:

Job Title: Machine Learning Engineer / Machine Learning Specialist

Location: Berlin / Munich / Frankfurt, Germany

Employment Type: Full-time

Company: MarketMuse

About the Company

MarketMuse is a forward-thinking technology company focused on building intelligent, data-driven solutions. We are looking for a passionate Machine Learning Engineer / Specialist to join our team in Germany and help develop scalable AI solutions.

Key Responsibilities

  • Design, develop, and deploy machine learning models and algorithms
  • Work with large datasets to train, validate, and optimize models
  • Build and maintain ML pipelines and production systems
  • Collaborate with data scientists, engineers, and product teams
  • Perform feature engineering and model evaluation
  • Monitor model performance and improve accuracy over time
  • Stay updated with the latest advancements in AI and machine learning

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
  • 2–5 years of experience in machine learning or AI-related roles
  • Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn)
  • Experience with data processing tools (Pandas, NumPy)
  • Familiarity with MLOps, Docker, Kubernetes is a plus
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills
  • Fluent in English; German language skills are preferred

What We Offer

  • Competitive salary aligned with the German AI/tech market
  • Flexible working hours and hybrid/remote options
  • Access to cutting-edge AI technologies and projects
  • Professional development and learning opportunities
  • Collaborative and innovative work environment
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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Okt 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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