Data Engineering team leader

  • Full-time

Company Description

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. ​​​​

Job Description

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]

Qualifications

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

Advantages:

  • 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]