Job
- Level
- Experienced
- Location
- Villach
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop machine learning and computer vision algorithms to analyze large unstructured datasets, optimize data pipelines, and conduct innovative data analyses to improve processes.
Job Technologies
Your role in the team
- Join 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.
- 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.
- Leiten Sie den gesamten Data Science Lifecycle, einschließlich Datensammlung, Labeling, Feature Engineering, Modelltraining, Validierung, Deployment und 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.
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Our expectations of you
Education
- 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.
Qualifications
- Demonstrated ability to perform complex, non-routine engineering and data analyses that influence product and business decisions.
- Starke Expertise in Docker und containerisierte Anwendungsbereitstellung.
- Project management skills, including the ability to translate strategic objectives into structured work packages and executable plans.
- Starke Präsentations- und Datenvisualisierungsfähigkeiten.
- Excellent verbal and written communication skills in English.
- 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.
- Vertrautheit mit cloud-basierten Analytics-Plattformen, MLOps-Praktiken und dem Management des Softwareentwicklungslebenszyklus.
Experience
- Proven experience developing, deploying, and managing predictive maintenance or machine learning models in production environments.
- Experience with large-scale data processing, data modeling, data warehousing, and data engineering concepts.
- Experience developing and implementing artificial intelligence solutions and advanced analytics applications.
- Experience leading data science projects in semiconductor environments.
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What we offer
- This 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.
- Lam offers a variety of work location models based on the needs of each role.
- Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex.
- 'On-site Flex' means you'll work 3 or more days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the rest of the week.
- 'Virtual Flex' means you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Lam Research AG
Villach
Lam Research Corporation has been one of the largest manufacturers of manufacturing machines for the semiconductor industry for over 30 years. The company has 6600 employees worldwide and branches in all of Asia, Europe, and North America.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1980
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization
Vision System Data Science Engineer
- Location
- Villach
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
