Join eSmart Systems as a Data Engineer, where you will play a crucial role in building and maintaining the datasets that power our AI models. Your primary responsibility will be extracting, processing, and preparing high-quality datasets, ensuring they are optimized for training our AI models in component detection, defect detection, and advanced analysis of inspection data.

Key Responsibilities:

• Collaborate with data scientists, annotation specialists, and inspectors to understand the requirements for defect and component detection.
• Extract, process, and select images from available data sources for robust training and test datasets. Maintain diverse datasets from various customers to enhance AI model applicability and effectiveness.
• Work closely with inspectors and domain experts to gain a deep understanding of defect definitions and industry standards, ensuring datasets are accurately annotated and categorized.
• Design and implement data pipelines for efficient data extraction, transformation, and loading.
• Ensure data quality and integrity by implementing rigorous testing and validation procedures.
• Stay abreast of the latest developments in data engineering and AI to continually improve our data handling processes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Data Engineer, with a strong background in data extraction, data processing, and dataset construction.
• Used to working with data in Python
• Familiarity with deep learning concepts and experience working with large-scale datasets.
• Strong problem-solving skills and attention to detail.
• Experience in image processing or working with visual data is highly desirable.

Department

Analytics

Role

Data Engineer

Locations

Halden, Oslo

Employment type

Full-time

Application deadline:

01 March, 2024