Machine Learning Operations Engineer

Xebia Benelux — Netherlands · Posted ~2 hours ago

Junior Full-time Hybrid

Skills

Machine learning engineering MLOps Productionizing machine learning models Automated ML pipelines ML experimentation infrastructure Scalable systems Containerization Cloud fundamentals Deployable code Python Machine Learning Docker Cloud ML pipelines

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Summary ✨ AI‑Generated

Launch or accelerate your MLOps career through a fully funded hands-on training program combined with paid employment. You will learn to write deployable code, containerize applications, work with cloud technologies, productionize ML models, and build scalable automated pipelines. After training, you will contribute to real-world machine learning projects while receiving ongoing coaching and technical support.

Highlights

Paid hands-on training and salary during an intensive ML engineering bootcamp, followed by client-facing work on challenging production ML projects, with ongoing weekly training and support.

Description

MLOPS EngineerReady 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 performanceThe role itself2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, ML(ops) engineering and cloud fundamentalsWork 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, VattenfallJoin us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leadsAt the end of your first year, you get the opportunity to join the partner organization directlyAs 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 XcceleratedXccelerated 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 intense learning journey for who have proven their potential and are ready for the next step in their career.Are you one of them? Join our dream team of 45 great people. Each member of our team brings a unique specialty and passion to our shared mission: eliminate the shortage of highly skilled Data & AI professionals. To achieve our goal, we empower each other to reach their full potential and inspire others to do the same. Or as Nikki, our ML engineer says: “The skills I learned at Xccelerated are incredibly valuable – I use them every day at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects”.What Xccelerated offers💰 Good salary🛫 25 vacation days📙 Kick off with 2 full-time weeks of hands-on bootcamp training📊 Technical trainings & Innovation days for a full year (every week)✅ Challenging assignments💻 Macbook and Iphone🍎 Lunches, amazing coffee and snack bar🎒Flexibility in working from home & at the office