Remote AI Developer: ML Models & Full-Stack Apps

Socket.dev; Virginia (IL); Hybrid; USD 130,000 - 145,000; Full time

Job summary

Everforth ECS is seeking an AI Developer to work remotely. The role involves building high‑performance Python‑based AI/ML solutions and full‑stack applications to serve AI models.

You will design, build, and deploy models, data preprocessing, and integrate them into scalable web apps with MCP servers. Responsibilities include developing AI/ML models, building microservices and front‑end interfaces, and ensuring system scalability, security, and performance across the stack.

Qualifications

• Bachelor’s or Master’s degree in CS/AI/Data Science required.
• US Citizenship or Green Card and ability to pass a background check required.
• 3+ years in AI/ML development and full‑stack app building.
• Strong Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers) skills.
• Experience with Django/Flask/FastAPI and React/Angular/Vue.js.

Responsibilities

• AI/ML model development and full-stack application work.
• Develop high‑throughput microservices and RESTful APIs/GraphQL.
• Build front-end interfaces for AI-powered apps.
• Integrate AI models into web and mobile apps.
• Ensure scalability, security, and performance of solutions.
• Collaborate with data scientists, developers, and product managers.

Education

Bachelor’s or Master’s degree in CS/AI/Data Science

Tools

Django

Flask

FastAPI

React

Angular

Vue.js

PostgreSQL

MySQL

MongoDB

Redis

Oracle 19c

Azure Databricks

Databricks

Docker

Kubernetes

AWS

Azure

GCP

GitHub workflows

Plotly

Job description

Everforth ECS is seeking an AI Developer to work remotely. The role involves building high‑performance Python‑based AI/ML solutions and full‑stack applications to serve AI models.

You will design, build, and deploy models, data preprocessing, and integrate them into scalable web apps with MCP servers. Responsibilities include developing AI/ML models, building microservices and front‑end interfaces, and ensuring system scalability, security, and performance across the stack.