Machine Learning Data Engineer

Company Description

QualiSense is a ground-breaking software-only solution designed from the ground up for the production floor, headquartered in Tel Aviv District, Israel. Founded in 2021 in partnership by Cortica and Johnson Electric, our mission is to deliver a fast and scalable universally accessible Augmented AI Platform for production quality assurance. Our software offers high throughput and easily integrates with any camera system for retrofitting to existing or new production lines. We have several production systems serving top automotive OEMs, and 18 patents pending and 14 in the pipeline.

This is a full-time on-site role at our Tel Aviv District, Israel location for a Machine Learning Data Engineer. The Machine Learning Data Engineer will work closely with the team to design and build our next-generation data processing and machine learning pipelines in production. The successful candidate will be responsible for creating architectures, algorithms, and prototypes, contribute to our data culture, and proactively investigate and solve production data issues.

• Bachelor’s or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• At least 3 years of experience in software development and data engineering with Machine Learning
• Experience in Python, Tensorflow, PyTorch, Spark, and NoSQL databases such as MongoDB or Cassandra
• Demonstrated success in creating production-level machine learning pipelines
• Experience with big data processing tools such as Hadoop and Hive
• Experience with cloud platforms such as AWS or Google Cloud
• Strong communication skills and the ability to work independently or in a team environment
• Ability to work independently to assess needs, identify requirements, and effectively collaborate with team members
• Experience with deep learning is a plus, and knowledge of computer vision is a bonus