Platform Engineer – AWS/GCP, MLOps | IIT Computer Science | US HealthTech

Hiring: Platform Engineer – Medical AI Infrastructure | IIT Computer Science Only

Location: Remote / India (US collaboration) EST Experience: 3–7 Years Industry: U.S. HealthTech | Medical AI Employment Type: Full-time

We are looking for a

Platform Engineer with a strong Computer Science foundation from IIT

to help build the

core infrastructure powering next-generation Medical AI solutions . This role is ideal for engineers who enjoy solving

deep technical problems in cloud infrastructure, data pipelines, and AI platforms

while working on

high-impact healthcare technology.

Company Overview

A deep-tech organization focused on building

advanced AI solutions for medical imaging and healthcare diagnostics . The team is developing highly scalable infrastructure to support

AI-driven clinical tools and next-generation healthcare platforms.

Role Overview

Build and maintain

secure, scalable cloud infrastructure and data pipelines

that power AI-driven medical imaging systems and machine learning workflows.

Key Responsibilities

• Design and maintain

scalable data pipelines

supporting medical imaging and ML workflows • Build and deploy

cloud-based model serving infrastructure

for AI applications • Implement

secure computing practices

and ensure compliance with

HIPAA and SOC 2 standards • Collaborate with

ML engineers and research teams

to productionize AI models into clinical tools • Optimize

system reliability, scalability, and cost efficiency

across the platform

Required Qualifications

✔

B.Tech / M.Tech in Computer Science from IIT (Mandatory) ✔

3+ years of experience with AWS or GCP ✔ Strong programming expertise in

Python ✔ Hands-on experience with

Docker and Kubernetes ✔ Experience building

CI/CD pipelines and scalable cloud infrastructure ✔ Familiarity with

MLOps tools such as MLflow, SageMaker, or Vertex AI ✔ Strong understanding of

core computer science fundamentals and system design

Preferred Qualifications

•

AWS or GCP certifications

(Solutions Architect, ML Specialty, etc.) • Experience with

AI/ML production platforms • Exposure to

Software as a Medical Device (SaMD)

environments

Why Join

• Build infrastructure powering

life-saving AI healthcare technology • Work with

top ML engineers and research teams • Solve

deep technical challenges in AI and cloud systems

If you are an IIT Computer Science graduate passionate about deep tech, AI infrastructure, and scalable systems, we would love to connect.