Machine Learning Engineer

ppMLOPS Engineer /ppReady 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? /pulliHelp data-driven teams to build production-ready, scalable machine learning systems /liliProductionizing machine learning models /liliMaintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance /li /ulh3The role itself /h3ulli2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, ML(ops) engineering and cloud fundamentals /liliWork 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall /liliJoin us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads /liliAt the end of your first year, you get the opportunity to join the partner organization directly /li /ulpAs 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. /ppBesides 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. /ph3About Xccelerated /h3pXccelerated 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. /ppAre 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" /ph3What Xccelerated offers /h3ulliGood salary /lili25 vacation days /liliKick off with 2 full-time weeks of hands-on bootcamp training /liliTechnical trainings Innovation days for a full year (every week) /liliChallenging assignments /liliMacbook and Iphone /liliLunches, amazing coffee and snack bar /liliFlexibility in working from home at the office /li /ulh3This is you /h3pFrom a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have: /pulliA technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence) /lili2-4 years of work experience as a ML Engineer or Data scientist /liliStatistical knowledge but are mainly experienced with end to end systems and able to run, deploy and monitor them /liliKnowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes /li /ulh3Application Process /h3ulliFirst interview with one of our recruitment consultants /liliMaking a technical assessment (from home) you will present to one of or Tech Leads (home/on remote) /li /ulpWe aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability. /p /p #J-18808-Ljbffr