• Chris Armbruster

MLOps Engineer (m/f/d). A competency profile.

Updated: Aug 28

The competency profile validates your domain expertise in data. It recognizes you as a Senior practitioner and advances your career to Senior and Lead. By practitioners, for practitioners - this service is provided by AI Guild members recognized for their expertise.

 

Here is an example of an MLOps engineer

Maimuna Lubega worked as an ML engineer for two years after completing an M.Sc. in Data Science (UK). Previously she worked as a software engineer for two years (US). Her experience includes building ML infrastructure and writing data processing pipelines to model prototyping and productionization. Her dual qualification in computer science and data science supports her focus on MLOps.

 

What do you see in the competency profile?

You are looking at the profile of someone able to productionize models (MLOps) while advancing the company's data infrastructure (data engineering).

  • MLOps: Maintaining training and deployment systems to minimize failure while providing CI/CD.

  • Data Engineering: Delivering and improving a quality data infrastructure.

She has been developing her expertise by deploying NLP and Computer Vision models, including contributions to model development.

AI Guild competency profile No 21210050
MLOps Engineer. Senior-level competency profile

 

MLOps and the relevance of data engineering

The profile shows how her model training and deployment are embedded in a focus on productionization, e.g., testing, CI/CD, and microservices.

It highlights her MLOps expertise, especially her commitment to data quality to ensure the reproducibility of models.

Her background in computer science adds another layer: Understanding the importance of writing clean code and delivering it.

 

Where is her #datacareer headed?

You are looking at a must-have Senior MLOps profile combining all the essential elements required of an expert: The ability to productionize with a keen eye for the quality of data and code and the implementation of a rigorous test regime.

To take the next step, she most likely will be prioritizing NLP or Computer Vision. Language and image are not the same types of data. So, becoming a recognized domain expert is easier if you focus on one type of data.

 

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.

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