Machine Learning Engineer (m/f/d). Competency Profile No 3.
Updated: Aug 28
The competency profile validates your domain expertise in data. It recognizes you as a Senior practitioner or advances your career to the Senior level.
By practitioners, for practitioners - this service is provided by AI Guild members recognized for their expertise.
Here is an example of a Machine Learning engineer.
She has 2+ years of automotive industry experience and a prior computer science and algorithm development track record. Her focus is on process automation by Classical Machine Learning.
What do you see in the competency profile?
This profile shows an excellent focus on building Machine Learning models
Strong domain expertise in building the proof-of-concept; flanked by
Skill in data preparation for the PoCs, bolstered by years of experience as a researcher.
As companies build expertise, the Machine Learning models go to production, so the profile shows.
Consolidated competence for deployment; and a
Skill extension to Deep Learning.
The profile exemplifies a practitioner's journey in the European industry over the last few years. Iteration on PoCs was common, as companies were looking to adapt to the new technologies. On her own accord, she got ready for the next step by seeking MLOps challenges. It is a brilliant move to build deep expertise in deployment. She certainly has the background to excel.
Focus: What is in and what has been left out?
Perhaps you noticed no mention of data analytics and data visualization. It is a choice, and the competency profilöe facilitates selecting the areas where you have deep domain expertise and are looking to deepen your expertise. That focus moves your career forward in the desired direction.
Where is her #datacareer headed?
She is building a portfolio that prepares her for technical leadership in Machine Learning. I expect her to design and supervise end-to-end ML deployment within a few years. She already has the competence for model building with data preparation. Commensurate experience in deployment means that any company would have a go-to person for the successful productionization of Machine Learning. It is an excellent value proposition.
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.