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Job Description

Join Spandau, a leading company in the Information Technology and Services industry, as a Map Machine Learning Specialist. This role is pivotal in developing and enhancing our mapping technologies, ensuring high-quality data processing and analysis. You will have the opportunity to work in either Jena or Berlin-Tempelhof-Schöneberg, Germany, collaborating with a dynamic team of IT professionals.

  • Design and implement machine learning models to improve map data accuracy and efficiency.
  • Analyze large datasets to identify patterns and insights for map enhancement.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
  • Maintain and optimize existing machine learning algorithms and frameworks.
  • Stay updated with the latest trends and advancements in machine learning and mapping technologies.

Required Profile

We are seeking an experienced professional with a strong background in machine learning and data analysis. The ideal candidate will possess the following skills and qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in developing and deploying machine learning models.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Fluency in English; German is a plus.

Offer

Spandau offers a competitive package and a supportive work environment to help you thrive in your career. Our benefits include:

  • Permanent full-time position with opportunities for career advancement.
  • Competitive salary and performance-based bonuses.
  • Comprehensive health insurance and wellness programs.
  • Professional development and training opportunities.
  • Flexible working hours to support work-life balance.
  • Access to cutting-edge technology and resources.
  • Collaborative and inclusive company culture.