Vision System Data Science Engineer (all genders)

Lam Research
Wien, Austria
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Data Analysis Computer Vision Big Data Cloud Computing Databases Data Architecture Information Engineering Data Visualization Data Warehousing R (Programming Language) Python (Programming Language)
+11 more
Machine Learning Windows PowerShell Software Engineering SQL Databases Visual Systems Feature Engineering Fastapi Information Technology Machine Learning Operations Data Pipelines Docker

Job description

The impact you’ll makeJoin Lam as a Data Scientist, where you’ll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You’ll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

What you’ll doDesign, 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.

Communicate complex analytical results and recommendations to technical and non-technical stakeholders, enabling data-informed decision-making.

Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization., What We’re OfferingThis position is subject to the Austrian Collective Bargaining Agreement for Employees in the Metal Technology Industry 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.

Requirements

Who we’re looking forBachelor’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

QualificationsKnowledge 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.

About the company

Villach - a great place to live and workFollow the link www.welcome2villach.at and you will find on the spot the most important information about living, working and studying in and around Villach/AustriaOur commitmentWe 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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