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Machine Learning Engineer, Munich
• München, Bayern
[...] AI. Key Responsibilities: Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. End-to-end AI model lifecycle, including data collection, preprocessing, model
training,
evaluation, and deployment. Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects. Drive data-driven decision-making through advanced analytics and visualization techniques. Ensure the security, scalability, and efficiency of AI solutions. Research efforts to explore and integrate cutting-edge AI techniques. Minimum Qualifications: Bachelors, Masters, or Ph. D. in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects. Proficiency in AI and machine learning frameworks and programming languages (e. g. , Python) . Strong expertise in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving and critical-thinking skills. Effective leadership, communication, and team management abilities. A passion for staying [...]
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