Machine Learning Engineer Educator

ph3Seniority level /h3 pMid‑Senior level /p h3Employment type /h3 pFull‑time /p h3Job function /h3 pTraining /p h3Industries /h3 pIT Services and IT Consulting /p pYou’re passionate about sharing your knowledge to support the next generation of Machine Learning Engineers in their development and success stories. You feel comfortable explaining difficult subjects on various levels and are adept at creating new learning and development offerings on Data AI. /p pYou are Fluent in working in different cloud environments, preferably Google Cloud. We’re interested if you have experience with our partners like Google to deliver their content, labs and environments. You’re comfortable breaking down complex topics for everyone, no matter their level, and you have a knack for adapting training to create exciting new learning opportunities in Data AI. /p h3WHAT YOU WILL DO TO MAKE ORGANIZATIONS DATA-DRIVEN /h3 pAt Xebia Data we build strong Data AI practices to deliver value to our clients and their customers. You’ll have the chance to train professionals from top international companies such as Uber, Intel, Nike, Booking.com, Lego, Blizzard, Airbus, Adidas, Verizon, Credit Suisse, ING, KLM, Shell, and many more. Your teachings will make a difference for the millions who rely on the data products created by these companies. We take pride in helping leading organizations become AI-driven — just think of what more we can achieve when YOU join our team! /p pYou’ll teach an average 6 days per month, leading both in‑person and virtual sessions, and continuously develop your own skills through collaboration with Google and our internal community. You’ll also have the opportunity to shape how we deliver Google Cloud training across our Academy and bring new ideas to help engineers grow faster and deeper in their cloud expertise. /p pAs our dedicated Machine learning Educator, you’ll be the go‑to expert on Google Cloud Platform for our trainings we deliver worldwide. You’ll deliver high‑quality, hands‑on training sessions using official Google content, labs, and environments. You’ll be responsible for running key courses like the bGoogle Cloud Big Data Machine Learning Fundamentals /b or bData Engineering on Google Cloud Platform /b. /p pWe understand that practical experience is crucial for effective knowledge sharing, especially on technical topics. That’s why we provide opportunities to work on projects once you’ve settled into your role. /p h3WHAT WE ARE LOOKING FOR /h3 pWe're on the lookout for someone who has a Google Cloud Certification. Ideally, a Professional Data Engineer or Professional Machine Learning Engineer, but if you have a Professional Cloud Architect or Associate Cloud Engineer certification or relevant experience with it, we’d love to hear from you too! /p pIt's necessary to have some hands‑on experience with Google Cloud products and services, especially when it comes to infrastructure, big data, or machine learning tools. In addition, it is important to have a good understanding of the wider Google Cloud ecosystem, including tools like Terraform for Infrastructure as Code, and a general idea of multi‑cloud environments and top industry tools. /p pIf you have experience teaching or training, that’s a bonus! What really matters is your passion for making complex topics easy to grasp. You like to work independently, but you also know how to collaborate with both our internal team and external partners like Google. A curious mindset is key, as it is important to stay up to date in this fast‑paced field. /p pLastly, you will be traveling for in‑person training sessions, mainly within the Netherlands, but as our customer base grows, you might find yourself traveling across Europe and beyond! /p p✅ You love helping others grow and learn new technologies. /p p✅ You enjoy explaining technical topics in a simple, engaging way. /p p✅ You have strong knowledge in cloud, ML and/or putting projects into production. /p p✅ You like variety: teaching one day, refining materials the next, and collaborating with clients the day after. /p p✅ You are flexible and creative - happy to adapt training and keen to collaborate with Google. /p p❌ You’re not comfortable speaking in front of a group or leading training sessions. /p p❌ You prefer working alone with minimal interaction or knowledge‑sharing. /p p❌ You don’t enjoy building community and sharing knowledge beyond just the classroom. /p p❌ You dislike traveling to new places for your job. /p ul liYou can enjoy, for free, healthy lunches and not‑so‑healthy drinks/snacks at our offices. /li liGet a lease car or mobility budget. /li liPick whatever laptop or MacBook you like! /li liChoose your phone. /li liPension plan. /li liA modern and dog friendly office in Amsterdam, Oostenburg. /li liYou can build/test/experiment with anything you want in our sandbox environments in GCP, AWS, and Azure. /li liYou can work on that innovative idea of yours next to other colleagues during our monthly Xebia Data Fridays. /li liFun events and activities like ski trips, BBQs, cooking workshops and more! /li li5k educational budget. And please, do spend every bit of it! /li liUnlimited book budget. /li /ul pOur core values are people first, quality without compromise, knowledge sharing and customer intimacy. At Xebia Data, you will find like‑minded colleagues who are at the forefront of their field and have the courage to go off the beaten track; they are the people who make organizations move. /p pSounds interesting? Let’s talk. /p /p #J-18808-Ljbffr