Trax is looking for a data-oriented Software Engineer to join the AI-Data team in the AI Unit. This person will be responsible for developing, delivering, and maintaining high quality services in Python, which performs a data pipeline for deep learning of computer vision models.

Responsibilities

• In charge of designing, developing, and maintaining server-side micro-services and APIs hosting data processes for deep learning, using Python and various DBs
• Analysis and investigation of anomalies in the data pipelines
• Architecture and development of libraries and frameworks for the group use
• Member of the AI unit which develops the company’s core computer vision technology

Minimum Qualifications

• Experienced Software Engineer - has proven experience in high scale micro-service development, technical design, and feature testing
• At least 3 years of proven experience in backend development in Python
• Experience in working with databases (SQL and NoSQL)
• Prior experience with code and data analysis methods and concepts
• B.Sc. in Computer Science/equivalent
• Fluent English

Preferred Qualifications

• Able to investigate and propagate new technologies
• BigQuery, BigTable, MongoDB, Pandas, Git

Key Competencies

• Team player with a can-do approach
• Self-learner, independent and reliable
• Good analytic and problem-solving skills
• Strong understanding of system architecture and clean code
• Good interpersonal skills, verbal, and written communication skills

What We Offer

• Working on state-of-the-art technologies with amazing people
• Global work environment, diverse & inclusive company
• Learning & development opportunities
• Office in central Tel-Aviv

Trax is committed to a diverse, inclusive, and equitable workplace where all team members, whatever their gender, race, ethnicity, national origin, age, sexual orientation or identity, education, or disability, feels valued and respected. We are committed to a nondiscriminatory approach and maintaining an inclusive environment with equitable treatment for all.