We are a medical AI startup, aiming to assist the embryo grading task of the in-vitro fertilization (IVF) procedure using deep-learning-based product. We are looking for a senior frontend engineer to join our offshore team and be part of developing our existing and new products.
Responsibilities:
Manage the design of our data lake to serve different types of internal and external clients.
Hands-on development of medical data pipelines, ensuring accurate reception, annotation, and utilization for deep learning purposes
Work closely with our deep learning engineers and our clinical researchers
Work with trained AI models [BK1] as part of automated data pipelines.
Process huge video and textual datasets of various IVF devices and other medical data sources
Lead a team of data engineers to design, build, and manage our data infrastructure.
Collaborate with cross-functional teams such as data science, product, and engineering to develop data-driven solutions.
Design and implement data pipeline architecture to support our AI products.
Develop tools and processes to automate data engineering workflows.
Manage data privacy and regulatory compliance.
duh [BK1]
Requirements:
Bachelor's degree in computer science or a related field.
3+ years[BK1] of experience in data engineering or related roles.
3+ years of experience in managerial roles
A strong vision of data management and accessibility.
Proven track record of designing and implementing data infrastructure and pipelines for AI products[DT2]
Strong coding skills in Python
Excellent written and communication skills in English
Experience in HealthTech industry – big advantage
Familiar with AI and deep learning concepts
Experience in Airflow[DT3]
Experience in K8S
Experience in MongoDB
Knowledgeable in image processing
the field barely exists for 5 years, better ask for 3 imo [BK1]
we can move the AI part to advantage, we can work with someone that made pipelines for production or other departments [DT2]
familiar with AI and deep learning concepts [DT3]
