Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
- AI/ML model deployment experience across production environments
- Proficiency in Python and core data science libraries
- Data preprocessing, feature engineering, and pipeline building
- Model evaluation, hyperparameter tuning, and performance optimization
- Solid understanding of classical and modern NLP techniques (e.g., TF-IDF, Word2Vec, LDA, transformers)
- Experience in image processing and computer vision using libraries such as OpenCV, PIL, or TensorFlow/Keras
- Ability to handle both structured and unstructured data (text, images, tabular, etc.)
- Exposure to feedback-integrated learning systems (e.g., active learning, reinforcement learning, human-in-the-loop approaches)
- Strong business problem-solving skills and ability to translate business requirements into AI/ML solutions
- Familiarity with cloud platforms (AWS, Azure, or GCP) for model deployment and data pipelines
- Version control using Git and collaborative development workflows (e.g., GitHub, GitLab)
- Experience with optimization techniques for improving model efficiency and scalability
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