Aktuelle Jobs im Zusammenhang mit AI Architect and Optimization Specialist - Münster, Nordrhein-Westfalen - pacemaker
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AI Architect and Optimization Specialist
vor 2 Monaten
We are seeking a highly skilled 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 designing, implementing, and optimizing neural network architectures and deep learning models for various applications.
Key Responsibilities- Design and develop advanced mathematical models, including optimization techniques like Particle Swarm Optimization (PSO), Genetic Algorithms, and other heuristic methods, for engineering and computational problems.
- Lead and contribute to research and development efforts in the areas of deep learning, artificial intelligence, and optimization algorithms.
- Analyze large-scale data sets to extract meaningful insights, trends, and patterns using machine learning techniques.
- Collaborate with domain experts and engineering teams to integrate machine learning models into production systems.
- Continuously improve model performance through experimentation, parameter tuning, and new algorithm exploration.
- Stay updated with the latest developments in AI, deep learning, and optimization algorithms, and propose novel solutions to existing challenges.
- Mentor junior data scientists and machine learning engineers within the team.
- Develop and maintain technical documentation, including model architecture, implementation details, and performance reports.
- Master's degree in Mathematics, Computer Science, Engineering, or a related field. PhD is a plus.
- 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.
- Proficiency in designing and training deep learning models using frameworks such as TensorFlow, PyTorch, Keras, etc.
- Strong background in mathematics, particularly in areas such as linear algebra, calculus, probability, and optimization.
- Hands-on experience with optimization algorithms, particularly Particle Swarm Optimization (PSO), Genetic Algorithms, Simulated Annealing, etc.
- Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and practical experience in applying them to solve real-world problems.
- Familiarity with data processing libraries (NumPy, Pandas) and machine learning libraries (scikit-learn, XGBoost).
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Strong attention to detail and the ability to manage multiple projects simultaneously.
Pacemaker is a dynamic startup working 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.
