Machine Learning Engineering (MLOps)

Go beyond developing models that only run in local notebooks.

The Xccelerated MLE-MLOps program is for experienced ML Engineers or data scientists who want to learn everything about developing scalable, production-ready data science applications. Develop your data science & engineering skills and go in-depth with a wide variety of topics required to make real impact.

The Kick off

Every ML Engineer kicks off with two full-time weeks of hands-on bootcamp training. This intensive training focuses on writing deployable code with Python, containerization, data processing at large scale with Apache Spark and Kafka, and cloud fundamentals. Participants learn through classroom lectures, short assignments, hackathons and collaborative project assignments. Our ML Engineering Lead Matthijs chooses the best training approach for the topic, depending on your needs.

The next 12-months

After these 2 kick off weeks, you spend a full year working on-site four days a week at one of our partner companies and returning one day a week to our Xccelerated office in Amsterdam. During these “return” days, you split your time between theory and practice—gaining project guidance and coaching from our supervising consultants to support you in the partner company’s projects, while also diving deeper into ML engineer topics. At the end of your first year, you get the opportunity to join the partner organization directly.

Program topics include

• ML model deployment

• Advanced Feature Engineering

• Building custom models

• Distributed processing with Spark

• Container orchestration with Kubernetes

• Probabilistic data structures and Streaming algorithms

• Deep learning and differentiable programming

• Streaming systems

• Soft skills

• Personal Development

Why work at Xccelerated?

Advanced Data & AI training programs

Take the next step in your career. Our programs for professionals with proven potential ensure growth in your ML & AI careaer, by working & learning continuously.

Challenging data-driven projects

Apply your knowledge on the most exciting data-driven projects and make real impact. Work with other highly skilled people at one of our partner companies and your future employer.

Like-minded professionals

Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.

Soft skills

In conjunction with our technical programs, Xccelerated also provides soft-skills development through interactive training-days and practice. It features an integrated personal development component on effective communication as a Data & AI professional.

The training courses are focused on personal leadership and will give you insight into your preferred communication styles and personal development goals. In addition, we are working on effective communication, giving feedback and feedforward, stakeholder management, presenting and conflict management.

The Xccelerated personal development program is divided into seven training topics. Each subject consists of one interactive training day in which everyone practices their skills.

The skills I learned at Xccelerated are incredibly valuable—I use them everyday at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects.

Nikki Doorhof - data scientist, Xccelerated/Nationale Nederlanden

Xccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges.

Selin Gungor - data engineer, Xccelerated/ING

I’m impressed by the guidance I get from the many experts I’m surrounded with at Xccelerated. It helps me become an expert myself as well at Heineken.

Aldy Syahdeini - cloud developer, Xccelerated/Heineken

Ready to become a MLE-MLOps Xccelerator?

As a ML Engineer you will work together with other medior- and senior team members on challenging projects for our clients and help them making a real impact by improving their data platforms and industrializing machine learning.

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.

• A technical bachelor’s or master’s degree (e.g. computer science, informatics, artificial intelligence, software engineering)

• 1-4 years of work experience as a ML Engineer or Data scientist

• Statistical knowledge, but are mainly experienced with end to end systems and able to run, deploy and monitor them.

• Preferably experience with the entire data pipeline (from data storage to model development)

• Knowledge of open-source technologies like Spark, Kafka, Airflow and Kubernetes

• Good communication skills (English) and able to speak Dutch on a professional level