What is TFLite / Edge ML and how common is it in AI job postings?

TFLite / Edge ML is a skill in the "Frameworks & Tools" category. It currently appears in 13 active AI roles across 10 companies in our index.

Which companies are hiring for TFLite / Edge ML?

The top employers with active AI roles mentioning TFLite / Edge ML are: Anduril (3), Apple (2), Viam (1), Unity (1), Samsara (1).

Is demand for TFLite / Edge ML growing?

Over the last 5 weeks, 9 new AI postings mentioned TFLite / Edge ML. Demand has been relatively stable over this period.

At which stage of AI development is TFLite / Edge ML used?

Roles requiring TFLite / Edge ML are concentrated in: serving infrastructure (54%), agents (31%), application (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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TFLite / Edge ML

13 active AI roles across 10 companies mention TFLite / Edge ML. Category: Frameworks & Tools.

Top employers

Anduril3Defense Apple2Big Tech Viam1Robotics Unity1Enterprise Samsara1Enterprise NVIDIA1Semiconductors Lime1Consumer Google1Big Tech Figure AI1Robotics Amazon1Big Tech

Demand trend

New AI postings mentioning TFLite / Edge ML per week — 9 total over 5 weeks.

Sector

All Big Tech · 4 Defense · 3 Robotics · 2 Enterprise · 2 Semiconductors · 1 Consumer · 1

Function

All Engineering · 13

Status

All Active only

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AI score Recently posted Company A–Z

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1 AI role requiring this skill.

Company	Title	Sector	AI score	Stage
Lime	Senior MLOps & Data Systems Engineer	Consumer	8	L3

Frequently asked questions

What is TFLite / Edge ML and how common is it in AI job postings?
TFLite / Edge ML is a skill in the "Frameworks & Tools" category. It currently appears in 13 active AI roles across 10 companies in our index.
Which companies are hiring for TFLite / Edge ML?
The top employers with active AI roles mentioning TFLite / Edge ML are: Anduril (3), Apple (2), Viam (1), Unity (1), Samsara (1).
Is demand for TFLite / Edge ML growing?
Over the last 5 weeks, 9 new AI postings mentioned TFLite / Edge ML. Demand has been relatively stable over this period.
At which stage of AI development is TFLite / Edge ML used?
Roles requiring TFLite / Edge ML are concentrated in: serving infrastructure (54%), agents (31%), application (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.