Description review
Computer Vision Engineer
Blue Pearl · United States · back to the listing
HR standards
47/100
poor
Title ↔ description
78/100
solid
Reads as
Machine Learning Engineer
91% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Category: Technology
Location:
About the Role
BluePearl is looking for a talented and innovativeComputer Vision Engineerto join our technology team on afull-time, fully remotebasis.
The successful candidate will be responsible for designing, developing, testing and deployingcomputer vision and machine learning solutionsthat enable systems to interpret and analyse visual data such as images, video and camera streams.
You will work closely with software engineers, data scientists, AI/ML specialists and other technical stakeholders to develop scalable, production-ready computer vision solutions.
DetailsOriginally posted on Himalayas
Location:
About the Role
BluePearl is looking for a talented and innovativeComputer Vision Engineerto join our technology team on afull-time, fully remotebasis.
The successful candidate will be responsible for designing, developing, testing and deployingcomputer vision and machine learning solutionsthat enable systems to interpret and analyse visual data such as images, video and camera streams.
You will work closely with software engineers, data scientists, AI/ML specialists and other technical stakeholders to develop scalable, production-ready computer vision solutions.
DetailsOriginally posted on Himalayas