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Hire Mid-Level TensorFlow Engineers

Browse 212 reviewed Mid-Level TensorFlow engineers available for remote hire. Every profile is manually reviewed before it goes live.

212 Mid-Level 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
Uriel

Uriel

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

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Khandu

Khandu

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

Parker

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

Daniel

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

Bushra

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

Shuntoria

Mid-Level
Chicago, United States (UTC-6) Full-time, Part-time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
Daniel

Daniel

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

Olisaemeka

Mid-Level
London, United Kingdom (UTC+0) Full-time, Contract Rate on request
NLP & Prompt Engineering AI Product & Strategy

About this role

What makes a Mid-Level 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 makes a Mid-Level TensorFlow engineer the right hire?

Mid-level TensorFlow engineers work independently on most tasks, contribute to architecture discussions, and require less hand-holding than juniors. They offer a strong balance of productivity and cost for companies that need reliable execution without the premium of a senior hire.