You’ll generally be treating machine learning models as APIs or components, which you’ll be plugging into a full-stack app or hardware of some kind, but you may also be called upon to design models yourself.Requirements: The technologies you’ll be working with include Python, Javascript, scikit-learn, TensorFlow/PyTorch (and/or enterprise deep learning frameworks), and SQL or MongoDB (typically used for app DBs).The questions you’ll be dealing with sound like:→ “How do I integrate this Keras model into our Javascript app?” → “How can I reduce the prediction time and prediction cost of our recommender system?” Job description: Your job will be to find new ways to solve challenging problems in data science and deep learning..You won’t be working with out-of-the-box solutions, but rather will be making your own.Requirements: The technologies you’ll be working with include Python, TensorFlow/PyTorch (and/or enterprise deep learning frameworks), and SQL.The questions you’ll be dealing with sound like:→ “How do I improve the accuracy of our model to something closer to the state of the art?” → “Would a custom optimizer help decrease training time?” The five job descriptions I’ve laid out here definitely don’t stand alone in all cases..At an early-stage startup, for instance, a data scientist might have to be a data engineer and/or a data analyst, too..But most jobs will fall more neatly into one of these categories than the others — and the larger the company, the more these categories will tend to apply.Overall, the thing to remember is that in order to get hired, you’ll usually be better off building a more focused skillset: don’t learn TensorFlow if you want to become a data analyst, and don’t prioritize learning Pyspark if you want to become a machine learning researcher.Think instead about the kind of value you want to help companies build, and get good at delivering that value..That, more than anything else, is the best way to get in the door.Oh, and if you want to chat, DM me on Twitter anytime at @jeremiecharris!Bio: Jeremie Harris is the Co-founder of @SharpestMindsAI and has interests in Physics, Machine learning, Philosophy and Startups.Original..Reposted with permission.Related: var disqus_shortname = kdnuggets; (function() { var dsq = document.createElement(script); dsq.type = text/javascript; dsq.async = true; dsq.src = https://kdnuggets.disqus.com/embed.js; (document.getElementsByTagName(head)[0] || document.getElementsByTagName(body)[0]).appendChild(dsq); })();. More details