AI Architect - Optimization Specialist

October 28

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pacemaker.ai by thyssenkrupp

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Description

• Collaborate with cross-functional teams to address business challenges using AI. • Design, implement, and optimize neural network architectures and deep learning models. • Develop advanced mathematical models and optimization techniques for engineering problems. • Analyze large-scale data sets to extract insights using machine learning techniques. • Integrate machine learning models into production systems. • Mentor junior data scientists and engineers. • Maintain technical documentation including model architecture and performance reports.

Requirements

• Master’s degree in Mathematics, Computer Science, Engineering, or related field. • PhD is a plus. • Minimum 5 years of professional experience in data science, machine learning, or related field. • Proficiency in designing and training deep learning models with TensorFlow, PyTorch, Keras, etc. • Strong background in mathematics, especially linear algebra, calculus, probability, and optimization. • Hands-on experience with optimization algorithms like PSO, Genetic Algorithms, etc. • Understanding of machine learning algorithms and practical application experience. • Familiarity with data processing libraries like NumPy, Pandas and machine learning libraries like scikit-learn, XGBoost. • Excellent communication and collaboration skills. • Strong attention to detail and ability to manage multiple projects.

Benefits

• High-performing MacBook for remote work. • Option to work from offices in Münster, Düsseldorf, or Berlin. • Opportunity to impact customer journey and contribute ideas. • Face new challenges daily in a dynamic startup. • Team spirit with short decision-making paths and exciting projects. • Flexible location and working hours. • Regular team events and activities.