- 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
We are Siemens
A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
Siemens Software. Transform the every day.
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#LI-Hybrid
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