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Deep Learning Engineer (m/f/d).

A Senior-level competency profile.

Chris Armbruster
Published in
3 min readSep 5, 2022

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Commercial application of Deep Learning is picking up, especially as natural language processing and image classification become widespread. What kind of track record and specialization makes you the Senior that companies must have?

She is a Deep Learning engineer.

She has been in the industry for three years, with prior programming experience based on academic research and project work. She is at a startup, and computer vision technologies drive product development and deployment.

Deep Learning Engineer: Senior-level competency profile.

For companies and practitioners: The competency profile validates your technical competency and domain expertise in data. It recognizes you as a specialist and advances your career to Senior, Lead, and Director. By practitioners, for practitioners — this service is provided by the AI Guild.

What do you see in the competency profile?

This profile shows substantial, deep expertise in two fields:

  • Developing and deploying CNN models; and
  • Innovating on Deep Learning models by building on research advances.

She flanks her focus on modeling by competence in

  • Image processing, which is vital to the quality of the models; and
  • Best practice in building the solution, which secures quality deployment.

The profile of an accomplished data practitioner is ready to be a Senior.

What makes an excellent competency profile?

A competency profile is short and sharp. Perhaps you noticed that the profile is not full of buzzwords but seeks to convey specific expertise in simple terms (e.g., 8 CNN deployed). We didn’t include a long list of technical skills (as you might on a CV) so that it might be easier to see: I am an expert in building and deploying innovative deep learning models.

As a practitioner, the challenge is to focus. Typically, one seeks to highlight the breadth of skills. Moreover, many new and updated tools entice you to stay up-to-date broadly. These issues have given rise to the oxymoron of the ‘full-stack data scientist.’ Yet, you must focus on being a Senior or make your case to be a Senior. This profile intensely focuses on deep learning with a track record in computer vision, image processing, and visual search.

Senior in Deep Learning or Computer Vision?

Her practice seems to be related mainly to images and computer vision, so is this not the Computer Vision engineer profile?

AI Guild competency profiles for companies and practitioners.

I imagine that companies looking to hire a Computer Vision expert are interested. However, the competency profile conveys a broader interest in Deep Learning that may include language or numbers as data.

A competency profile ideally also includes a sense of direction. Both the profile statement and selection of expertise convey a sense of mission: This data practitioner wants to keep innovating at the forefront of modeling.

The innovation here means not academic work but rather working on prototypes with a realistic chance of being deployed because they drive a solution for a recognized customer or business need.

The AI Guild’s 1700+ Specialists

The AI Guild is Europe’s leading practitioner community in Data Analytics, Data Engineering, Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps.

Do you want to progress to Senior, Lead, and Director?

It takes 60 days to build your competency profile. You can find out more by booking the first conversation to gain more insights at https://www.datacareer.eu.

AI Guild

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Chris Armbruster
Fluent in Data

Director, 2400+ Data Analytics and Machine Learning specialists | Data Leader | Keynote Speaker | Use Cases in Production