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]