We are seeking an experienced AI & ML professional with deep expertise in spare parts warehouse operations to design, develop, and implement machine learning models that improve forecasting accuracy, inventory optimization, demand prediction, and overall operational efficiency.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Business, or a related field.
- 7+ years of overall experience, including at least 3 years specializing in Artificial Intelligence/Machine Learning development and working with Microsoft Power Platform (Power Automate, Power BI, Power Apps)
- Proven experience in designing and developing chatbots/AI assistants integrated with databases for user interaction and process automation.
- Hands-on experience creating automation scripts or workflows to optimize manual data processes using tools such as Python (Pandas, OpenPyXL), Power Automate, or UiPath.
- Strong knowledge of Power BI, Power Automate, Power Apps, and integration with Microsoft 365, Dynamics 365 and Microsoft Azure tools.
- Strong proficiency in Python, with experience using ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Proven Experience with LLMs and NLP frameworks (Hugging Face, LangChain, OpenAI API) is a plus.
- Experience managing agile, hybrid, or waterfall project lifecycles.
- Proficient in stakeholder communication, risk management, and reporting at executive levels.
- Familiarity with governance, Center of Excellence (CoE) frameworks, and scalable solution design.
Benefits
- Access world-class infrastructure and continuous learning opportunities
- Be part of a purpose-driven organization that is shaping the future of mobility
- Thrive in a collaborative, diverse, and inclusive environment
- Work on cutting-edge technologies and global projects
To apply for this job please visit daimler.taleo.net.
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