As a Machine Learning Engineer, you collaborate with Data Scientists and Data Engineers to develop scalable, production-ready applications powered by data and AI. You are a Scientist or Engineer who embraces mathematics and understands the process of taking models from development to production. You possess the necessary skills and courage to bring ideas from your laptop to a cluster.

How you will help in creating value with Data & AI At Xebia, we establish robust Data & AI practices to bring value to our clients and their customers. Our team of data professionals has successfully predicted daily bread demand, implemented energy-saving algorithms at a national scale, and established data innovation labs in large multinational corporations. By joining our team, you can contribute to even greater achievements in making top companies AI-driven.

As a machine learning engineer, your responsibility is to take AI solutions into production to generate value. You ensure that applications are scalable, testable, robust, and extendable through your expertise in engineering and machine learning.

What you will do to make AI-driven applications You collaborate closely with Data Scientists in your team to understand the problem being addressed and their approach. You review their code, modularise it, identify areas for testing and even challenge their solutions to enhance their effectiveness. Your proficiency in Python enables you to improve code quality or potentially translate it to other languages like Scala or Java.

During on-site client engagements, you may encounter challenging problems. Fortunately, Xebia organises regular remote work sessions where you can discuss and find solutions with the collective intelligence of the entire team. If immediate assistance is needed, every member of Xebia is just a quick message away, always ready to provide support.

THIS IS YOUR DREAM JOB IF…

• You like working on the overlap between AI and software or data engineering.
• You like building your solutions with services on public clouds or want to learn how to do that.
• You like working for different clients and enjoy the excitement of regularly getting to learn new environments and know new people.

THIS IS NOT YOUR DREAM JOB IF…

• You only want to build models from data and are not interested in doing the work involved in taking these models into production.
• You are just fine with spaghetti code or do not understand what that is.
• You do not like coding, scripting, templating.

You are an engineer with a pragmatic attitude. You feel the weight of responsibility that comes with taking systems into production. You easily switch between scripting and structured programming in typed languages. You understand cloud, provisioning and automation. And you know how to build robust systems.

How you will help to create value with Data & AI

At Xebia we build strong Data & AI practices to deliver value to our clients and their customers. In the past, our team of data professionals has predicted the daily demand for millions of loaves of bread, built advanced energy-saving algorithms to nationwide scale, and set up data innovation labs at large multinational corporations. We enjoy great success in making top companies AI-driven — just think of what more we can achieve when YOU join our team!

In Switzerland, our journey is just beginning, collaborating closely with the Xebia Data Community in the Netherlands and Poland. This presents a lot of opportunities for you to actively influence and shape our initiatives within an innovative team characterized by a flat hierarchy. You’ll have the chance to make a real impact and contribute to our growth from the ground up!

What your work as a Data Engineer Consultant will look like

As a Data Engineer Consultant, you will work on the backbone of the data infrastructure. You will help our clients to make the right design decisions and implement data pipelines. There is lots of data to store, many jobs to run and schedule, much configuration to be dealt with. You typically work at the client in teams that are a mix of people from Xebia Data and the client.

When you’re working on-site with a client you may come across something that is really difficult to solve. We’ve got your back as we at Xebia Data work as a team and will help you solve your problems, because everybody at Xebia Data is just a quick message away and ready to help at any time.

Who Are We Looking For?

The Data Engineer Consultant role is a senior position with a central role in our clients’ teams, and therefore we require at least 2 years of relevant professional experience. Having said that, we like to be amazed: so if you have done something outstanding during your studies, like contributing to open source projects or starting your own company, we encourage you to apply no matter what the level of your experience is into motion

THIS IS YOUR DREAM JOB IF…

• You like working with the latest data processing tools, like Airflow, Spark, Flink, and Druid
• You like to create, shape, and have a say.
• You like working with both code and people and enjoy the excitement of regularly getting to learn new environments and help your clients to be successful.
• You speak german at a professional level

THIS IS NOT YOUR DREAM JOB IF…

• You do not like to get things done in the best way possible with the limited time that you have available to finish it.
• You do not like working with open-source technology.
• You do not like coding, scripting, templating.

The Xebia Way At Xebia we treat each other with respect, cooperation and a view towards creating an enthusiastic, self-empowered, dynamic working community. Our culture exudes creativity and ambition and our colleagues share an insatiable thirst for knowledge. We’re especially proud of our generous training budget and our “Hack-What-You-Want” Fridays.

In addition to a great culture, we provide competitive primary benefits:

• competitive salary;
• great pension plan;
• extended holidays;
• flexible workload;
• monthly knowledge sharing sessions;
• 5k educational budget. And please, do spend every bit of it.

Our core values are people first, quality without compromise, sharing knowledge, and customer intimacy. At Xedia Data, you’ll find like-minded colleagues at the forefront of their fields with the courage to veer from the beaten path; they are the people who put organization

Have you become the go-to person for software-related problems, simply because you know all the answers? Are you done with skipping unit tests because you need to meet that deadline, whatever it costs, and prefer to focus on quality? Would you like to work with the best software engineers, share knowledge, and work on innovative projects, where you can make a real impact? Then we are looking for you!

How you will help to Xebia Software Development

By joining Xebia, you’ll play a pivotal role in a team of dedicated professionals who value the principles of clean code and deliver high quality without compromise. Our goal is to be the authority in our field, and we help you become one too. As part of our team, you’ll turn the latest technology trends into business advantages and you’ll be building the future with software for our clients and creating solutions together with talented colleagues.

What you will do within Xebia Software Development

You will be part of a leading software consultancy group that thrives on exploring and creating new frontiers. Our team is all about continuous growth, fostering an atmosphere where individuals constantly challenge each other to learn and evolve. Expect to engage in innovative projects at the forefront of Cloud-Native development. Here, you will have dedicated time for innovation and knowledge sharing, a testament to our core values. And last but not least, you will collaborate with some of the finest software engineering colleagues from around the world, making your journey truly exceptional.

This is your dream job if…

• You are comfortable and enjoy working with React, JavaScript, Vue, and/or Angular for at least 5 years
• You are eager to learn and love to share your knowledge
• You want to be more than just a code monkey; You also like to have a good understanding of business needs
• You want to be part of a team that focuses on personal development, team development, and having fun together

This is not your dream job if...

• If you don’t like to work for different customers or don’t enjoy the excitement of learning new environments and new people
• You don’t like to work with the newest technologies and don’t want to stay up to date with the latest in tech
• You like to do the same, day in and day out

Ready to take the next step? Join us and embark on a journey where growth, fun, knowledge sharing, and cutting-edge technology are all part of the package.

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?

What You'll Do

• 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 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

This is you

From 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:

• A technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence)
• 2-4 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
• Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

Interested? We’d love to meet you!