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Hire Junior TensorFlow Engineers

Browse 165 vetted Junior TensorFlow engineers available for remote hire. Every profile is manually reviewed — only real production experience gets listed.

165 Junior TensorFlow profiles
Manually reviewed
Remote worldwide

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Dhawal Umesh

Dhawal Umesh

Mid-level
United States — Chicago (UTC-5) Full Time
AI & Machine Learning Engineers Automation & AI Workflows
Khandu

Khandu

Junior
India — Kolkata (UTC+5.5) Full-time, Contract-to-hire
Automation & AI Workflows AI & Machine Learning Engineers
Viren

Viren

Junior
India — Kolkata (UTC+5.5) Full Time, Part Time
AI & Machine Learning Engineers data science & analytics
Uriel

Uriel

Senior
Canada — Toronto (UTC-4) Full Time, Part Time
AI & Machine Learning Engineers NLP & Prompt Engineering
Daniel

Daniel

Mid-Level
Lithuania — Vilnius (UTC+3) Active 18 hours ago Full-time, Freelance
Automation & AI Workflows AI Implementation & Consulting
Yuwetha

Yuwetha

Junior
Sri Lanka — Colombo (UTC+5.5) Part-time, Full-time
NLP & Prompt Engineering AI Business, Marketing & Strategy
Parker

Parker

Senior
Canada — Vancouver (UTC-7) Part-time, Freelance
data science & analytics AI & Machine Learning Engineers
Akmal

Akmal

Mid-Level
Indonesia — Jakarta (UTC+7) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
Muhammad Rayan

Muhammad Rayan

Junior
Pakistan — Karachi (UTC+5) Active 5 hours ago Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
Marshaniswah

Marshaniswah

Junior
Indonesia — Jakarta (UTC+7) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering

About this role

What makes a Junior TensorFlow engineer?

TensorFlow remains widely used in enterprise ML systems, particularly for production deployments, mobile (TFLite), and end-to-end ML pipelines using TFX. TensorFlow engineers bring structured deployment workflows and mature tooling to AI projects.

Frequently asked questions

When should I hire a Junior TensorFlow engineer?

Junior engineers are cost-effective for well-scoped tasks with clear requirements and senior oversight. They work well in team environments where senior engineers can review their work. For exploratory AI work or ambiguous production systems, a more senior hire is more appropriate.

What can a Junior TensorFlow developer do independently?

Junior TensorFlow developers on RemoteAI can typically implement defined features, run experiments with existing frameworks, write tests, and contribute to established codebases. Complex architecture or novel problem-solving typically requires senior guidance.