At Mindsay, our Data Scientists are also called AI Software Engineers. As a Data Scientist at Mindsay, you will be working on the implementation of our Natural Language Understanding algorithms, from conceiving the individual models to deploying them to production. You will work on our intent classification and entity detection models, our conversation’s grading models and our pipeline for self-learning.
Your responsibilities will include:
You will also participate in our research meetings where we conceive and challenge our general NLU algorithms before actually implementing them.
Your work in data science will include:
Our algorithm and back-end APIs are written in Python 3, and our models are using tensorflow, keras and scikit-learn. You will also need to know basic Unix commands to manage the virtual machines hosting your server.
This position requires a background in both software engineering and machine learning. We’re looking for candidates with at least five years experience in software engineering and a few years experience in machine learning.
We don’t require you to be familiar with every technology listed above. Instead, we’re looking for candidates that demonstrate enthusiasm and pro-activity. You are expected to be organised in your work, write clean and efficient code and always remain attentive to details.
We look for people who don’t choose deep neural networks over linear regression if the latter is enough, but who are not afraid of designing an adversarial learning pipeline when it clearly is the best solution.
You’ll find that members of the Tech team are often in front of whiteboards devising better designs or coaching each other, and we expect you to actively be a part of these discussions.
Bonus points:
These companies are also recruiting for the position of “Data / Business Intelligence”.
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