QA Engineer

MobileODT is looking for a talented and enthusiastic QA engineer that will provide technical expertise to facilitate E2E testing of MobileODT’s EVA system. This includes building and maintaining automation and manual testing scripts, running E2E tests using automation on mobile and web apps, running load and stress tests, sanity and regression testing.

Skills and Experience:

• At least 2 years of proven experience in testing of complex and large software systems.

• Manual testing – black.white box testing

• Well experience with testing mobile and web apps using automation tools (Selenium, Appium).

• Knowledge and experience writing STD/STR documentation

• Familiar with CE, FDA and ISO 13485 (medical devices) – significant advantage

• Experience with REST API, HTTPS, SQL & NoSQL Databases – an advantage

• Familiar with load and stress testing procedures – an advantage

• Experience in Agile development methodology

• Ability to look at the “bigger picture” and anticipate how one change can have a ripple effect across the system

• Strong verbal and written English skills

• Excellent interpersonal skills and Team Player

• Self-starter, autodidactic

• Passion for saving lives with technology and making a positive impact in the world

Senior Machine Learning Engineer / Team Leader

MobileODT is looking for a highly experienced enthusiastic machine learning engineer who knows how production-scale ML systems are built and has experience building them.

Responsibilities:

• Be a technical leader of MobileODT’s AI and ML activity

• Lead the data science team, as it grows in scale and responsibilities

• Plan, design and implement MobileODT’s machine learning infrastructure to enable accurate and optimal performance under variable loads

• Design and implementation of our next algorithms, modalities, and AI features according to high standards, architecture and requirements

• Being a pivot player, helping to boost the development in various areas, affect business decisions and drive technological decisions

• Provide technical guidance and mentoring to other team members

• Be able to make highly complex algorithms accessible to non technical stakeholders

Skills and Experience:

• M.Sc. in Computer science, Electrical engineering, Data science or equivalent

• Deep theoretical knowledge and practical hands on experience in machine learning of at least 5 years

• Experience with deep learning and image classification of at least 2 years

• At least 3 year of practical experience production-quality code in python

• Practical experience with image classification algorithms (preferably medical images classification)

• Strong analytical and problem solving skills

• Ability to take ownership and deliver in both research and code implementation for production scale systems

• Ability to work independently 

• Team leading experience – an advantage

• Experience with TensorFlow framework – an advantage

• High proficiency in English – verbal and written

• Passion for saving lives with technology and making a positive impact on the world!