MLOps / Developer (SDE2) — Functions, Docker, Microservices

Company Description

Visual AID is a startup pioneering AI-driven cosmetic surgery planning. Our team is dedicated to developing a bias-free, inclusive Novel Human-Face Medical Model through rigorous research and medical testing. By leveraging cutting-edge AI technology, we aim to empower patients with advanced decision visuals, providing greater insight and clarity for their cosmetic surgery choices. Our goal is to equip surgeons with unparalleled accuracy and precision, revolutionizing the future of aesthetic medicine and making cosmetic surgery more accessible, personalized, and confident for all.

Role Description

This is a full-time remote role for an MLOps / Developer (SDE2) — Functions, Docker, Microservices. The role involves handling the designing, implementing, and maintaining scalable microservices and serverless functions. The candidate will work with Docker to containerize applications, ensuring they are robust and easily deployable. Additionally, the developer will collaborate with the AI research team to integrate machine learning models into production environments and facilitate smooth CI / CD pipelines. Daily tasks will include coding, debugging, code review, and maintaining documentation.

We ship real systems. You’ll build production functions , containerized services, and MLOps plumbing—then help (or learn to help) on Agentic AI , Computer Vision , or Data Science as needed.

Qualifications

Experience with Microservices Architecture and Serverless Functions

Proficiency in Docker and containerization technologies

Familiarity with CI / CD pipelines and related tools

Strong programming skills in Python, Java, or Go

Knowledge of cloud services like AWS, Azure, or GCP

Understanding of MLOps principles and integrating ML models into production

Excellent problem-solving abilities and attention to detail

Ability to work independently in a remote environment

Relevant experience in the healthcare or cosmetic surgery industry is a plus

Bachelor's degree in Computer Science, Engineering, or a related field

Must-Haves

3–6 yrs backend / SDE2; strong Python (typing, packaging); TS or Go a plus

Docker, one cloud (GCP / AWS / Azure), serverless or K8s

NumPy / pandas / scikit-learn; productionized data transforms

CI / CD (pytest, lint, automation) and observability basics

Clear docs; you close gaps—missing details = defects

Please only apply if you can work fulltime, can overlap in PST during onboarding, love your console "machine" meaning you know yourself and are very passionate. No students or part time persons at this time. Only reliable and responsible personalities.