Duties: Design, develop, and implement software programming for both internal and external products, exceeding customer expectations with a focus on quality and on-time delivery; Ensure the overall functional quality of released products across all platforms and mechanisms; Lead major projects within the product area, providing technical guidance and promoting innovation; Consult with customers on future upgrades and products, influencing technical direction; Provide high-level technical expertise, including in-depth software systems programming and analysis; Mentor junior engineers, demonstrating independence and technical expertise
Requirements: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field; +8 years of experience in software development, with a specialization in data analysis and machine learning; Proficiency in programming languages such as Python, Java, or C++; Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Integrate an international data analytics team with diverse backgrounds, utilizing state-of-art data analytics tools and methodologies; Collaborate and interact regularly with internal customers and other data teams across Siemens as a consultant and enabler; Implement and develop solutions for business uses cases applying AI/ML techniques and frameworks, including LLM models; Ensure compliance with Siemens security and privacy standards for data handling and model deployment
Requirements: Curiosity and willingness to learn new and upcoming technologies; Bachelor/Master’s (or equivalent) in Computer Science Engineering, Statistics or related field; Background in data science including statistical analysis and modeling, data mining, machine learning, uncertainty analysis, time series forecasting, working with both structured and unstructured data; Strong problem-solving and analytical thinking skills; Knowledge and understanding of ML models, including LLM; Programming experience in Python and any Data Science & ML packages, such as: numpy, pandas, matplotlib, scikit-learn, TensorFlow, Keras, nltk, spacy, gensim; Knowledge and familiarity with SQL; Excellent oral and written English skills

Duties: Design, develop, test, and deploy web applications and services using contemporary programming languages, frameworks, and tools for both front-end and back-end development; Develop products and prototypes in areas such as LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc; Collaborate with partners and customers to deliver high-quality and cost-effective solutions; Lead the software production process; taking ownership of assigned features from inception to completion, including mockups, design documents/reviews, acceptance testing, and deployment
Requirements: BSc, MSc, or Ph.D. in Computer Engineering, Computer Science, or related fields; +3 years of hands-on experience in developing web applications across diverse industries; Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, with knowledge of UI frameworks like ReactJS and Angular being advantageous; Demonstrate understanding of data structures, data modeling, and software architecture; Hands-on experience in web/cloud and mobile application development for AI and ML-based solutions

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution; Work with large, complex data sets and applying advanced analytical methods as needed; Develop deployable machine learning solutions that address the real root cause; Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way; Be the partner of choice regarding technology advisory for advanced analytics
Requirements: Knowledge in advanced data analytics/data science; Have five years of relevant experience with data science/optimization/statistical models; Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field