<p><strong>MACHINE LEARNING ENGINEER</strong></p><p><strong><br></strong></p><p><strong>As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient.</strong></p><p><strong><br></strong></p><p>You will have to analyze the problem at hand, come up with a solution strategy and execute it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data, and then re-formulating it as an ML problem. It requires openness, creativity, and an eagerness to learn new methodology and explore new terrains.</p><p>We approach these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.</p><p><strong>NOTE</strong>: <br>We are looking for ML Engineers with <strong>+2 years</strong> of experience with ML in production. <br><strong>To Apply we require a work VISA for Sweden or Switzerland</strong>. Currently, we do not offer sponsorships.<br><br><br></p><p> </p><p><strong>Our Stack</strong></p><p><strong><br></strong></p><ul><li>Python / R – standard open-source libraries</li><li>Scikit-learn and various specialized Python and R ML libraries</li><li>Deep learning frameworks such as Pytorch and Tensorflow/Keras</li><li>Cloud platforms such as GCP, AWS, and Azure</li><li>Relational database management systems</li><li>Distributed processing such as Apache Spark</li></ul><p><strong><br></strong></p><p><strong>Responsibilities</strong></p><p><strong><br></strong></p><ul><li>Analyzing and planning problems, solutions, and delivery</li><li>Preprocessing, feature engineering, and dataset creation</li><li>ML model development</li><li>Validation of results</li><li>Data pipelining and infrastructure development</li></ul><p><strong><br></strong></p><p><strong>Background & Skills</strong></p><p><strong><br></strong></p><ul><li>MSc or Ph.D. in a quantitative field</li><li>Excellent understanding of a broad set of ML algorithms and frameworks</li><li>A passion for lean, clean, and maintainable code</li><li>The desire to grow and to share insights with others</li><li>Experience from ML i production</li></ul><p><strong><br></strong></p><p><strong>Helpful knowledge</strong></p><p><strong><br></strong></p><ul><li>Deep learning frameworks and theory</li><li>Data pipelining and infrastructure</li><li>DevOps experience, CI/CD, Kubernetes</li></ul><p><br></p><p><strong><br></strong></p><p><strong>About Team Modulai</strong><strong><br></strong><br>At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well as building our own ML products. </p><p>Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!</p><p> </p><p> </p> •
Last updated on Mar 10, 2021