Junior Machine Learning Engineer (Internship)
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Role: Junior Machine Learning Engineer<br/><br/>Start Date: September 2026<br/><br/>Contract: Internship<br/><br/>Duration: 6-months<br/><br/>Location: Lausanne or Zürich<br/><br/><strong>About Us<br/><br/></strong>At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.<br/><br/>With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.<br/><br/>We're on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visiumees.<br/><br/>Ready to become one?<br/><br/><strong>Role<br/><br/></strong>Join the company's growing team and take part in our expansion in Switzerland and internationally. As a Junior Machine Learning Engineer, you will be working on a variety of applied research projects using state-of-the-art Machine learning techniques and you will help deploy them for customers, transforming their business.<br/><br/>You will contribute to an exciting environment with a challenging team always on the lookout to learn and share about the latest technologies and applications.<br/><br/><strong>Requirements<br/><br/></strong>Who you should be in order to apply?<br/><br/><ul><li>EPFL or ETH Student/Graduate. If you are still studying, you have an internship to complete as part of your studies</li><li>Data enthusiast, you are not scared to dive in and to ask the right questions</li><li>Resourceful, critical thinking, collaborative and team-oriented spirit</li><li>Impeccable attention to details and drive to excel</li><li>Fast learner and have a problem-solving attitude, the projects you will work on are not textbook cases, you will need to be imaginative to bring the best solutions</li><li>Organizational skills and capacity to adapt in an ever-evolving scale-up environment</li><li>With strong communication skills, you will most likely have to present your results to non-technical people</li><li>You are willing to always go the extra mile and never compromise on quality</li><li>Proactive attitude, not hesitating to act and take on responsibilities</li><li>You have a growth mindset, always on the lookout on what you can improve, rationalize and consolidate<br/><br/></li></ul>In addition, this should be part of your background to apply<br/><br/><ul><li>Proficiency in Python programming</li><li>Experience with ML/DL libraries and frameworks (es. Scikit-learn, TensorFlow, Keras, Pytorch)</li><li>Experience with various visualization frameworks (es. Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js, etc.)</li><li>Experience in applying deep learning approaches, such as recurrent neural networks and deep convolution networks</li><li>Strong knowledge of clustering algorithms, regression and classification (supervised/unsupervised/reinforcement learning)</li><li>Understanding of Unix/Linux operating systems</li><li>Familiarity with web development is a plus </li><li>Familiarity with REST API and microservices<br/><br/></li></ul><strong>Benefits<br/><br/></strong>What we offer<br/><br/><ul><li>A competitive compensation package</li><li>A yearly education budget to steep your learning curve</li><li>A yearly sport budget because a fit body leads to a fit mind</li><li>A flexible working culture because your work-life balance matters to us</li><li>A position that enables you to have an impact on 1'000s of people, and the whole company's growth</li><li>An international, knowledgeable, and passionate team with a strong collaborative mindset<br/><br/></li></ul>Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions. </div>