A machine learning engineer at BigData Republic is a hands-on expert. They not only bring models into production, but also advise clients on the best approach to take. Read more and apply if that sounds like (the future) you! 36-40 Hybrid working Multi-industry client portfolio Vacancy Machine Learning Engineer About you At BigData Republic we do not fit common role descriptions that well. And this is a great thing. We call this authentic, and hope you are too. That’s why we would like to get to know you and learn how you could add value, by being you, whichever way this is. Perhaps you're a data scientist with a passion for engineering, or a data engineer with a passion for AI and LLM's. Perhaps you're a software engineer who knows everything about deep learning, or a cloud expert with a fascination for computer vision. Either way, your eyes sparkle when you learn about something new. You believe in collective intelligence, and want to share your knowledge and passion with others to turn it into something useful for the world. Because we don't always check all boxes, we don't expect you to do so either. If you are unsure whether you fit the profile, please don't hesitate to make your interest known. Together we explore how to combine our strengths and learn from each other. About us BigData Republic is a high-end consultancy firm, specializing in data science, data engineering, and machine learning technology. As a niche consultancy team, we are different from the large firms out there. We deliver a quality over quantity approach and we aim to be a thought leader in the field. For our clients, we focus on creating business value with innovative data solutions that have a sustainable impact. Knowledge sharing and thought leadership are fundamental pillars of our organization. Every Friday we host knowledge sharing sessions at our office. We write blog posts, organize meetups and visit conferences. At BigData Republic you can be the expert in the room, and at the same time learn something new from your colleagues every day. And most importantly, you can be yourself. We develop data applications, create predictive models, build data platforms and design infrastructures. We have a strong focus on advanced technical expertise, a software engineering mindset and a pragmatic way-of-working. We are a team of about 20 experienced MLOps- and Data Engineers. Our culture is centered around collaboration and growth, and we are motivated by helping others. We love to share our knowledge and like to be challenged by each other. About the job If machine learning engineering is your passion, you've come to the right place. We design and implement machine learning solutions within multidisciplinary teams at our clients. You are the hands-on expert and advisor in one, and understand the importance of guiding your client on their best approach. Whether this is a simple model that creates business value, or implementing advanced techniques such as causal inference, reinforcement learning or deep learning. We approach machine learning solutions as full-stack software developments projects and use technologies such as Python, Scikit-learn, Tensorflow, PyTorch, Keras and Databricks. Bringing solutions to production is key, so scalable deployment, model interfacing and model monitoring are important aspects that you'll come across. When you join us, you will work on complex challenges for large organizations. Take a look at our services page for an impression of industries and use cases. At the same time, you are part of a small, informal team of peers that know each other really well, share knowledge and inspire each other. Technical expertise You match if you have experience with some, or all of the tools listed below: An academic background in a Data Science, Engineering discipline or related field. Programming languages such as Python, Scala, Kotlin, and SQL Cloud environments AWS, GCP, and/ or Azure Relevant experience in bringing models to production and scale. Consultancy experience Interest in open source/ innovation Fluency in Dutch and English, both written and verbal. Want to work for clients like these? How we look at work Fitting salary and pension scheme, because this is important 25 days of holidayleave and 8% holiday allowance 36 or 40 hours a week, hybrid Choose your tech gear; a laptop and phone that work best for you. Your project should be fun but also challenging. We love to see you speak at conferences, visit them, or get certified in tools or environments if you want to. Get that badge! Actively participate in our Career path framework. Grow with us! Friday drinks, sports events, or other social stuff with your BigData Republic Team, if you feel like it. We have a soft spot for office dogs. Woof. What's next? If you are curious about the role and feel that you match (some of) the profile elements above, please contact Puck. She is our Talent Detective, always looking for interesting people to become our new colleagues. Is there anything you would like us to consider while processing your application? Please let Puck know and she will take this into account. You may have some questions left or are unsure if you match. Don’t worry too much, and just check in with us. We’re not perfect, we don’t expect you to be either. We would much rather learn how we can complement each other and how we can create synergy than keep waiting for ‘Prince Charming’. Because the perfect match is a fairy tale. We believe you add value the most by simply being you, and we are curious about what that looks like. The process You apply We chat online Meet Bertjan and Toon We discuss a use case at the office An offer comes your way