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Machine Learning Specialist (m/w/d)

  • Wimsheim, Baden-Württemberg, Germany
  • Bengaluru, Karnātaka, India
+1 more

Job description

Your day-to-day work

Become part of cidaas and cnips, the leading cloud services in Europe. Develop modern components for user authentication, fraud detection and other AI-supported processes in our product teams

Your area of responsibility

  • Design and develop machine learning models to solve complex problems in the area of user authentication, fraud detection or AI assisted processes
  • Collaborate with cross-functional teams, including data engineers, software developers and product managers, to integrate ML models into scalable, production-ready systems
  • Perform data exploration and feature engineering to improve model accuracy and efficiency.
  • Participate in the full lifecycle of machine learning projects, from problem definition to model deployment and monitoring.
  • Optimize existing machine learning models to improve performance and efficiency.
  • Document machine learning processes, models and algorithms for internal knowledge sharing and regulatory compliance.

Job requirements

Your profile that convinces us

  • Bachelor's or Master's degree in computer science, data science, statistics or a related field.
  • Proven experience (3+ years) in developing and implementing machine learning models and solutions.
  • Strong programming skills in Python, C++, JavaScript or similar languages, with experience in ML libraries and frameworks (e.g. TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of machine learning algorithms, principles and best practices.
  • Experience with data processing (specifically Ray) and feature engineering techniques.
  • Ability to collaborate in a team and communicate effectively with both technical and non-technical team members.
  • Proven problem-solving skills and the ability to work on complex challenges in a focused manner.

Preferred qualifications:

  • Experience with cloud computing services and container technologies (Docker, K8s) and deploying ML models in cloud environments.
  • Experience in specific ML domains such as NLP, computer vision or reinforcement learning is a plus.
  • Contributions to open source projects or publications in relevant areas.
  • You are fluent in written and spoken German and English and not afraid of daily meetings in English.
  • You keep up to date with industry trends and advances in machine learning and artificial intelligence to ensure best practices for model development and deployment.

What we offer you

  • Exciting products and a great team
  • Open doors and flat hierarchies
  • Joint events, company-wide "you" and a positive working atmosphere in which we appreciate each other
  • Free choice of laptop & company cell phone


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