Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Vasoldsberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI-driven solutions for semiconductor manufacturing, integrate data pipelines and AI models into production systems, and optimize processes through predictive maintenance and anomaly detection.
Job Technologies
Your role in the team
- Developing and implementing AI-driven and data-driven solutions for semiconductor manufacturing.
- Analyzing and exploring new AI use cases together with Manufacturing, Engineering and IT.
- Supporting proof-of-concepts through to productive solutions.
- Integrating AI models, data pipelines and AI services into production-related systems.
- Building and enhancing modern data and AI platforms based on event-streaming and container technologies.
- Implementing solutions for anomaly detection, predictive maintenance and process optimization.
- Contributing to the deployment, orchestration, operation, and monitoring of productive AI applications.
- Exploring new applications for AI agents and agent-based workflows.
- Improving data quality, interfaces, documentation, and governance together with internal partners.
- Training and providing technical guidance to engineers and specialist departments.
This text has been machine translated. Show original
Our expectations of you
Education
- University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline.
Qualifications
- Analytical thinking combined with an independent, structured and team-oriented working style.
- Ability to communicate technical concepts clearly and bring different specialist groups together.
- Understanding of MLOps, CI/CD and the reliable operation of productive AI applications.
- Knowledge of AI agents, agent-based workflows and their integration into business and production processes.
- Sehr gute Englischkenntnisse; Deutschkenntnisse sind von Vorteil.
- Bereitschaft zu gelegentlichen Reisen.
Experience
- Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment.
- Experience in developing and operating data-driven applications or AI solutions in productive environments.
- Experience with event streaming, data pipelines and modern data platforms, such as Apache Kafka.
- Experience in developing, deploying and orchestrating containerized applications, such as with Docker, Kubernetes or OpenShift.
- Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow.
This text has been machine translated. Show original
What we offer
- We offer competitive salaries and additional benefits based on your performance, experience and qualification.
- The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G.
- We offer a higher compensation depending on your expertise and skills.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ams AG
We take sensing to the next level by providing a seamless interface between humans and technology. We enable our customers to create highly differentiated products that are smarter, safer, easier to use and more eco-friendly.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization, Trade, Internet, IT, Telecommunication