FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Mandatory Internship – AI-Assisted Benchmarking, Image Processing Solutions
SICK Sensor Intelligence. Analyze existing quality assurance methods in industrial image processing and explore AI-based analysis of large image datasets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-based analysis methods for industrial image processing, including automated quality assurance and benchmarking pipelines. Proficient in Python programming and familiar with machine learning frameworks such as PyTorch and TensorFlow.
Highest-signal resume keywords
Python ProgrammingMachine LearningDeep LearningComputer VisionData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Image ProcessingQuality AssuranceAutomated AnalysisBenchmarkingMetrics DevelopmentDashboard DevelopmentData VisualizationAI AgentsLarge Language ModelsPerformance Assessment
Soft Skills
Analytical SkillsIndependent WorkStructured Approach
Tools & Technologies
PyTorchTensorFlowMachine Vision Systems
Industry Keywords
Industrial Image ProcessingQuality MetricsGenerative AIAutomated ReportingProof of Concept
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Analyze existing quality assurance methods in industrial image processing and explore AI-based analysis of large image datasets
- Develop methods to detect and classify quality deviations, misclassifications and outliers in image data
- Design and implement an automated analysis and benchmarking pipeline for machine vision systems
- Develop metrics to assess image quality, detection performance and system robustness
- Explore Large Language Models (LLMs) and AI agents to interpret, aggregate and document analysis results
- Develop dashboards and automated reports to visualize quality metrics and benchmarking results
- Compare machine vision solutions using real-world data and identify opportunities to improve accuracy, stability and performance
- Document and present findings and recommendations
- Develop a concept for AI-supported quality assurance and automated analysis of machine vision systems and implement a proof of concept
Requirements
What you’ll need- Studies in computer science, electrical engineering, data science, mathematics, robotics or a related field
- Good programming skills in Python
- Basic knowledge of machine learning, deep learning and computer vision
- Interest in industrial image processing and automated quality assurance
- Initial experience with PyTorch, TensorFlow or similar frameworks is an advantage
- Knowledge of Large Language Models (LLMs), generative AI or AI agents is an advantage
- Experience in data analysis and visualization, as well as dashboard development, is an advantage
- Independent and structured approach to work
- Strong analytical skills
- Good command of English
Benefits
Comp & perks- No role-specific benefits are stated in the posting
- Inclusive workplace committed to dignity, fairness, respect, and non-discrimination