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Hire Senior TensorFlow Engineers

Browse 101 reviewed Senior TensorFlow engineers available for remote hire. Every profile is manually reviewed before it goes live.

Browse Senior TensorFlow Profiles
101 Senior TensorFlow profiles
Manually reviewed
Remote worldwide

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Dhawal Umesh

Dhawal Umesh

Mid-level
Chicago, United States (UTC-6) Full Time Rate on request
AI & Machine Learning Engineers Automation & AI Workflows
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Uriel

Uriel

Senior
Toronto, Canada (UTC-5) Full Time, Part Time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
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Viren

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
python sql scikit-learn pytorch langchain +5
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Khandu

Khandu

Junior
Kolkata, India (UTC+5:30) Full-time, Contract-to-hire Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
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Parker

Parker

Senior
Vancouver, Canada (UTC-7) Part-time, Freelance Rate on request
Data Science & Analytics AI & Machine Learning Engineers
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Daniel

Daniel

Senior
Sydney, Australia (UTC+11) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
python sql tensorflow pytorch pandas +4
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Bushra

Bushra

Senior
Kolkata, India (UTC+5:30) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
python docker tensorflow pytorch langchain +5
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Shuntoria

Shuntoria

Mid-Level
Chicago, United States (UTC-6) Full-time, Part-time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql tensorflow pytorch reinforcement learning +1
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Daniel

Daniel

Mid-Level
Vilnius, Lithuania (UTC+2) Full-time, Freelance Rate on request
Automation & AI Workflows AI Implementation & Consulting
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Olisaemeka

Olisaemeka

Mid-Level
London, United Kingdom (UTC+0) Full-time, Contract Rate on request
NLP & Prompt Engineering AI Product & Strategy
python tensorflow pytorch prompt engineering openai api +5
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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. Our team reviews every profile before it goes public (a real name, a written description and a list of skills), so judge seniority from the experience each person lists.

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