Machine Learning Engineer

MLOPS Engineer Ready to break boundaries in the analytical world? Accelerate your ML engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a ML(ops) engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects. What kind of projects? ✅ Help data-driven teams to build production-ready, scalable machine learning systems ✅ Productionizing machine learning models ✅ Maintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance The role itself 2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, ML(ops) engineering and cloud fundamentals Work 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall Join us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads At the end of your first year, you get the opportunity to join the partner organization directly As a ML(ops) Engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you will work on data science & ML related topics, such as predictive software solutions, fraud detection or data engineering challenges such as building data pipelines, developing on cloud architectures and productionizing machine learning models. Besides this, you like big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are used to build production-ready scalable applications driven by data and AI. About Xccelerated Xccelerated is an initiative within the Xebia Group, accelerating growth of Data, Cloud & AI competence. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. It is an inte