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Remote Docker Jobs

Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.

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Jobs & Projects

E

Posted 6 months ago

Applications closed

AI Integration Engineer

Estudio AI

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$100,000 – $130,000
Full page
S

Posted 6 months ago

Applications closed

Computer Vision Engineer - Retail Shelf Monitoring

ShelfSight Labs

Remote

senior
Full-time
English
$115k - $155k / year
Full page
A

Posted 6 months ago

Applications closed

MLOps Engineer — Model Registry & CI/CD

AgroSense AI

Remote (EU timezone)

mid-level
full-time
English
$80k – $110k / year
Full page
L

Posted 6 months ago

Applications closed

Vision ML Engineer - Textile Defect Detection

LoomInspect AI

Remote (India friendly hours)

mid-level
Full-time
English
$80k - $115k / year
Full page
E

Posted 7 months ago

Applications closed

ML Developer — Real Estate Price Prediction API

EcoSense AI

Remote

mid-level
Freelance
English
Full page
R

Posted 7 months ago

Applications closed

Research Engineer — Reinforcement Learning for Robot Navigation

RoboSense AI

Remote

senior
Full-time
English
$130k – $175k / year
Full page
P

Posted 7 months ago

Applications closed

Computer Vision Engineer — Retail Visual Search

Ponto AI

Remote

mid-level
full-time
English
$90k – $125k / year
Full page
S

Posted 7 months ago

Applications closed

Backend Engineer — LLM Tooling & APIs

Strata AI

Remote

mid-level
full-time
English
$100k – $140k / year
Full page
N

Posted 7 months ago

Applications closed

AI Engineer — Early Stage Startup (Generalist)

Nebula AI

Remote

mid-level
full-time
English
$80k – $110k / year
Full page
A

Posted 7 months ago

Applications closed

MLOps Engineer — Model Monitoring & Drift Detection

AidBridge Intelligence

Remote

mid-level
Freelance
English
Full page

Role guide

What to expect in remote Docker jobs

Docker is the foundation of modern AI deployment infrastructure. Remote Docker jobs at AI companies involve containerising ML models, building reproducible training environments, and managing deployment pipelines. Engineers with Docker experience who also understand ML workflows are particularly in demand.

What you'll work on

  • Containerise ML models for reproducible, portable deployment
  • Build multi-stage Docker images that keep model serving images lean
  • Create development environments that match production exactly
  • Orchestrate AI microservices across training and inference containers

What companies look for

  • Multi-stage Dockerfile design for ML workloads
  • Docker Compose for local development and testing environments
  • Experience with GPU container configurations for model training

Frequently asked questions

What Docker skills do AI companies typically require?

Multi-stage builds, GPU container configuration, Docker Compose for local development, and integration with CI/CD pipelines. MLOps-focused roles often require Kubernetes knowledge on top of Docker.

Can I get a remote Docker job without Kubernetes experience?

Yes — especially at smaller companies or for roles focused on development environments rather than production orchestration. As companies scale, Kubernetes becomes increasingly expected.

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