Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.
Translate analytical insights into standardized current best-known methods (cBKM) to enable scalable and sustainable business impact.
Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices.
Process, structure, and analyze large-scale datasets while optimizing data pipelines, databases, and data architectures to support advanced analytics.
Who we're looking for
Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a related field.
Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience.
Proven experience developing, deploying, and managing predictive maintenance or machine learning models in production environments.
Demonstrated ability to perform complex, non-routine engineering and data analyses that influence product and business decisions.
Strong expertise in Docker and containerized application deployment.
Project management skills, including the ability to translate strategic objectives into structured work packages and executable plans.
Experience with large-scale data processing, data modeling, data warehousing, and data engineering concepts.
Strong presentation and data visualization skills.
Excellent verbal and written communication skills in English.
Preferred Qualifications
Knowledge of optical systems, cameras, sensors, and imaging hardware.
Expert-level proficiency in Python, statistical modeling, machine learning, and data visualization.
Working knowledge of PowerShell, R, SQL, and database technologies.
Experience developing and implementing artificial intelligence solutions and advanced analytics applications.
Familiarity with cloud-based analytics platforms, MLOps practices, and software development lifecycle management.
Experience leading data science projects in semiconductor environments.
What We're Offering
This position is subject to the https://www.metalltechnischeindustrie.at/fileadmin/content/Dokumente/Kollektivvertrag/KV-2025_2026/FMTI_Mindesgehaltstabelle_2025.pdf in occupation group F. The monthly salary is paid 14 times per year. Please follow the link below in the "Employment in Austria" section for further information.
Working Hours
Flexitime model 38,5 hours/week, Core hours (Mo-Th 9-15, Fr 9-11:30)
Application
If you are interested in this position, please apply ONLINE under: https://careers.lamresearch.com/
Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results
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