Data Engineer, Flawless AI

• Strong analytical background: BSc or MSc in data engineering/machine learning or related topics
• Programming experience with Python
• Experience creating and managing large scale datasets for machine learning, including establishing quality metrics
• Experience setting up infrastructure at scale for ML / Data Teams, including CI/CD & Data pipelines
• Experience working with cloud platforms (AWS, GCP, Azure) and familiarity with infrastructure as code
• You have a solid background in core software engineering principles, are happy deploying & managing infrastructure, and have a good understanding of the difficulties faced by research scientists and ML engineers

Desirable

• A Data Engineer, who is passionate about building platforms that massively reduce lead time from bringing Machine Learning research to production
• The vision of the Data team is to enable our cross functional ML teams to spend most of their time solving tricky ML problems rather than dealing with data engineering/infra/ops challenges
• You will impact the quality and accessibility of our data, working to source and catalogue high quality datasets and build automated annotation pipelines
• Building & maintaining data annotation pipelines, establishing the workflow for continuous data delivery and annotation
• Work with our ML teams to build data transformation pipelines for large scale computer vision datasets
• Establish robust data quality metrics and drive a continual improvement of data quality and diversity\
• Drive standardisation of data management and exchange
• Support Flawless data sourcing efforts, license management and data governance strategy
• Working with our Platform team, supporting efficient data storage and transportation and access
• Reports to: ML Engineering Manager

• At Flawless, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together
• Our interview process is four rounds with some casual Zoom (or in-person) coffee in between to get to know each other:
• Recruiting Screen: 30-45 minute call with our recruiting team (We want to discuss your background, interests and motivations as well as the practical details and make sure that Flawless would be a good fit for you)
• Hiring Manager Screen: 45-60 minute zoom interview - you will meet with our Platform ENgineering Leadership to discuss your technical expertise
• Reverse System Design: 60 Minute zoom interview where you will meet 1-2 members of the Platform Engineering team, through a screen share format talking through experience in data transformation
• Final Interview: 60 Minute onsite interview - Use this time to meet other ML members on the team, discussing data operations, and ML Operations
• Your Recruiter and hiring manager will be your main point of contact and prepare you for interviews. You’ll meet 4 to 6 people from across the business