AI Architect: Designing Intelligent Systems

vor 2 Wochen


Münster, Nordrhein-Westfalen, Deutschland pacemaker Vollzeit
About the Role

We are seeking an experienced AI Architect and Optimization Specialist to join our team at Pacemaker. As a key member of our organization, you will play a crucial role in driving business growth through the development and implementation of cutting-edge AI solutions.

Key Responsibilities
  • Design and Implement AI Solutions: Develop and deploy neural network architectures and deep learning models to drive business outcomes.
  • Optimize Business Processes: Apply advanced mathematical models and optimization techniques to improve efficiency and reduce costs.
  • Lead Research and Development: Collaborate with cross-functional teams to identify opportunities for AI-driven innovation and develop new solutions.
  • Analyze Complex Data: Extract insights and trends from large datasets using machine learning techniques.
  • Integrate AI Models: Work with engineering teams to integrate machine learning models into production systems.
  • Continuously Improve: Experiment with new algorithms and techniques to improve model performance.
  • Stay Up-to-Date: Stay current with the latest developments in AI, deep learning, and optimization algorithms.
  • Mentor and Train: Mentor junior data scientists and machine learning engineers to develop their skills.
  • Document and Communicate: Develop and maintain technical documentation and communicate complex ideas to both technical and non-technical stakeholders.
Requirements
  • Education: Master's degree in Mathematics, Computer Science, Engineering, or a related field. PhD is a plus.
  • Experience: Minimum 5 years of professional experience in data science, machine learning, or a related field with a focus on neural networks, deep learning, and optimization models.
  • Skills: Proficiency in designing and training deep learning models using frameworks such as TensorFlow, PyTorch, Keras, etc.
  • Mathematical Background: Strong background in mathematics, particularly in areas such as linear algebra, calculus, probability, and optimization.
  • Optimization Experience: Hands-on experience with optimization algorithms, particularly Particle Swarm Optimization (PSO), Genetic Algorithms, Simulated Annealing, etc.
  • Machine Learning Knowledge: Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and practical experience in applying them to solve real-world problems.
  • Technical Skills: Familiarity with data processing libraries (NumPy, Pandas) and machine learning libraries (scikit-learn, XGBoost).
  • Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Attention to Detail: Strong attention to detail and the ability to manage multiple projects simultaneously.
About Us

Pacemaker is a dynamic startup that works with passion and ambition on AI-based solutions that make it possible to make the best possible data-driven decisions for a sustainable supply chain.



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