To achieve this, they’ve brought together one of the largest teams of scientists, clinicians, mathematicians, and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate, and personalized health service and make it universally available.
At Babylon their people aren’t just part of a team, they’re part of something bigger. They have a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. They’re only as good as their people. So, finding the best people is everything to them.
They serve millions, but they choose their people one at a time…
Purpose of Role
Their applied AI team is looking for a skilled and experienced data engineer with experience in designing workflows for building AI models. The team will be creating/scaling data pipelines and models deployment infrastructure for their healthcare AI products deployed globally. These products touch and improve the lives of millions on a daily basis and contribute to their mission of making affordable healthcare and accessible to everyone.
The role is embedded in the product engineering organization and will work alongside data scientists, software engineers, and other product and design teams. For the right candidate, it will be a great opportunity to be involved in end to end product development life cycles- from ideas through discovery, to launch and expansion of new products/features.
Key Responsibilities
To work alongside a team of researchers, data scientists, and software engineers to help build data pipelines and model deployment/monitoring infrastructure needed for new model development and experimentation.
Key Skills Required
Strong software engineering skills in Python, Flask, and SQ
Awareness or experience working with AWS databases and python SDK (boto3).
Experience in developing and deploying models in production and monitoring for performance.
Person Specification
This is a senior role and involves stakeholders and possibly line management.
The ideal candidate will have great communication skills (both written and spoken) to engage with different stakeholders and highlight the value/risks of various workstreams
Comfortable with ambiguity and able to handle frequent changes, customary to a rapidly growing organization.
Work in a team or as a lone contributor to start and shape new ideas
Essential
Qualifications and Experience:
Prior experience in ML Ops and building data pipelines for AI models
Experience in developing and delivering production software
Knowledge of data optimization techniques and integrity verification
Desirable
Familiarity with Kubernetes and kubeflow
Prior experience with multi-model deployment configurations and best practices
Experience in data pipelines and annotation processes-
Experience in using off-the-shelf AI/ML platform and data products such as Databricks, AWS Sagemaker, Kafka.
They believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything they do. From their people to their products, difference enriches every part of their business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. They’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.
At Babylon, they have Power of Diversity groups (PODs) to drive positive engagements that create and foster a diverse and inclusive environment and we seek to recruit, develop and retain the most talented people from a diverse pool of candidates.
Their mission is to put an accessible and affordable health service in the hands of every person on earth. Diversity and inclusion play a key role in helping them bring this mission to life and create a true sense of belonging for all.
