Full-Stack AI Engineer – End-to-End ML Apps (Remote)

h2o.ai; Germany (OH); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Remote-Friendly Culture

Flexible working environment

Career Growth

Job summary

H2O.ai is searching for an AI Engineer to work with the Kaggle Grandmasters team on developing transformative AI solutions from concept to market. Responsibilities include end-to-end development of AI applications, involving backend and frontend development, deployment, and integration of AI components.

The ideal candidate will have a strong background in programming, machine learning, and cloud deployment with tools like Docker and Kubernetes. The position allows for remote-friendly work in a flexible environment with opportunities for career growth.

Qualifications

• Bachelor's, Master's or PhD in a relevant field preferred.
• Proven experience as a Full Stack Engineer or similar role.
• Hands-on experience in data engineering and machine learning.

Responsibilities

• Collaborate on AI application development across the full stack.
• Create robust backend services and APIs.
• Develop user interfaces for complex AI functionalities.
• Deploy AI models using cloud platforms.

Skills

Proficiency in Python

Experience with JavaScript

Familiarity with AI/ML frameworks (PyTorch)

Backend development using FastAPI

Frontend frameworks (React, NextJS)

Experience deploying with Docker and Kubernetes

Analytical and problem-solving skills

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

AI-assisted coding tools

CI/CD pipelines

OpenAI API

Job description

H2O.ai is searching for an AI Engineer to work with the Kaggle Grandmasters team on developing transformative AI solutions from concept to market. Responsibilities include end-to-end development of AI applications, involving backend and frontend development, deployment, and integration of AI components.

The ideal candidate will have a strong background in programming, machine learning, and cloud deployment with tools like Docker and Kubernetes. The position allows for remote-friendly work in a flexible environment with opportunities for career growth.