Informatiker/in (Hochschule)

• LOCATION: Villach, AT, 9500
• REQ ID: 204410

• What you'll do
• •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