SeeTrue is a well-funded AI startup on a mission to revolutionize passenger journeys with intelligent threat detection powered by deep learning and computer vision. We develop advanced image detection systems to ensure safer and more efficient travel.

We are seeking a highly motivated and experienced Data Engineer to join our dynamic Data Engineering team. This is a pivotal role where you will design and implement scalable data solutions, build automation for data workflows, and develop infrastructure supporting training and testing of our deep learning–based image detection systems.

Responsibilities:

• Develop and maintain automated pipelines for data ingestion, transformation, and monitoring.
• Build and manage databases to ensure reliable storage, access, and quality of data.
• Design and deploy infrastructure and automation for training and testing processes of deep learning models.
• Develop ETL pipelines to integrate production data into the data warehouse for analysis and reporting.
• Work on local servers and in the AWS cloud, ensuring efficient and secure processing, storage, and deployment of image data.

Qualifications & Skills:

• 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• Strong programming skills in Python and solid experience with SQL and data platforms.
• Hands-on experience in building ETL pipelines and managing datasets (preferably image data).
• Solid understanding of modern data technologies, including data processing frameworks, storage solutions, and workflow orchestration tools.
• Experience in building automations or infrastructure supporting AI/ML training and testing workflows is a strong advantage.
• Experience with ClearML and AWS is a strong advantage
• Excellent communication and collaboration skills.
• Bachelor’s degree in Computer Science, or a related field; advanced degrees are a bonus.

What We Offer:

• A chance to design and implement solutions from scratch, shaping the future of data infrastructure at SeeTrue.
• Work at the intersection of data engineering and AI, supporting deep learning solutions in computer vision.
• Opportunities for career growth and continuous learning