Remote AI Developer & Full-Stack ML Engineer

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

Job summary

Everforth ECS is seeking an AI Developer to work remotely, building high-performance Python-based AI/ML solutions and full-stack applications. You will design, train, and deploy models, integrate them into scalable web apps, and ensure security and performance.

Collaboration with data scientists and developers is essential. The role requires strong problem-solving skills, knowledge of AI frameworks, and experience across the technology stack, including APIs, front-end interfaces, and deployment

Qualifications

• 3+ years of AI/ML development and full-stack app building.
• Proficient in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
• Experience with backend (Django/Flask/FastAPI) and frontend (React/Angular/Vue).
• Knowledge of SQL/NoSQL databases and cloud platforms (AWS/Azure/GCP).
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps practices.

Responsibilities

• AI/ML model development and deployment to production.
• Full-stack development of high-throughput backends and front-ends.
• Build and optimize APIs (REST/GraphQL) for AI models.
• Collaborate with data scientists and product managers and document architectures.

Skills

AI/ML model development

Python

Full stack development

RESTful APIs/GraphQL

MLOps

Docker & Kubernetes

Cloud platforms

GitHub workflows

SQL/NoSQL databases

Geospatial tech

Education

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

Tools

Django

Flask

FastAPI

React

Angular

Vue.js

PostgreSQL

MySQL

MongoDB

Redis

Oracle 19c

Azure Databricks

Job description

Everforth ECS is seeking an AI Developer to work remotely, building high-performance Python-based AI/ML solutions and full-stack applications. You will design, train, and deploy models, integrate them into scalable web apps, and ensure security and performance.

Collaboration with data scientists and developers is essential. The role requires strong problem-solving skills, knowledge of AI frameworks, and experience across the technology stack, including APIs, front-end interfaces, and deployment