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Hire Senior TensorFlow Engineers

Browse 93 vetted Senior TensorFlow engineers available for remote hire. Every profile is manually reviewed — only real production experience gets listed.

93 Senior TensorFlow profiles
Manually reviewed
Remote worldwide

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Khandu

Khandu

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

Akmal

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

Yuwetha

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

Daniel

Mid-Level
Lithuania — Vilnius (UTC+3) Active 13 hours ago Full-time, Freelance
Automation & AI Workflows AI Implementation & Consulting
Yash

Yash

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

Sandeep

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers
Yash

Yash

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
Jesper

Jesper

Junior
Netherlands — Amsterdam (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
Olisaemeka

Olisaemeka

Mid-Level
United Kingdom — London (UTC+1) Full-time, Contract
NLP & Prompt Engineering AI Product & Strategy
Marshaniswah

Marshaniswah

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

About this role

What makes a Senior 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

What does a Senior TensorFlow engineer bring that a mid-level doesn't?

Senior TensorFlow engineers take ownership of architecture decisions, handle production incidents independently, and mentor others. They reduce review cycles and catch edge cases earlier. For production AI systems, senior engineers are the difference between a system that works in a demo and one that holds up at scale.

How do I verify someone is truly senior in TensorFlow?

Look for evidence of ownership — production systems they designed, incidents they resolved, technical decisions they made under pressure. All Senior TensorFlow profiles on RemoteAI are manually reviewed for depth of experience, not just claimed seniority.