AI Engineering Traineeship
Ready to turn your studies into a real career? With an IT traineeship from CodeHive, you can quickly develop into a fully-fledged IT professional.
Do you recognize yourself in the following profile?
AI: where data meets intelligence
Artificial intelligence is fundamentally changing organizations. Companies need smart people who can translate AI technologies into concrete applications with real impact. AI professionals ensure that models not only work in theory, but also create value for users and customers. You are the one who turns data into insights and builds AI solutions that make companies smarter, more efficient and future-proof.
What technical skills are you going to learn?
Our AI Traineeship's comprehensive curriculum covers a wide range of topics, including:
- Machine Learning & Predictive Modeling
- Deep Learning & Neural Networks (Image, Speech, and Text)
- MLOPs & Model Deployment
- AI Cloud Services (AWS, Azure, GCP)
- Data Engineering Basics (ETL, data pipelines)
- AI Consulting & Use Case Development
- Responsible AI & Monitoring
Who are you?
You have just graduated or are about to finish studying AI, Data Science, Computer Science or a related field. You are analytical, curious and see AI not only as code, but as a means to improve processes and organizations. You want to grow in a role where you make a real impact — for example as a Machine Learning Engineer, Data Scientist or AI Consultant at organizations that focus on data-driven work.
What do we expect from you?
You are eager to learn and communicate. You are actively looking for ways to develop yourself — technically and professionally. You can work independently, but you also know when to spar or ask for help. You get energy from complex data sets and challenging issues and take responsibility in projects. Ultimately, you want to grow into an AI specialist or tech leader who helps companies put smart AI solutions into practice.
Example: MLOps Engineer at Enexis
One of our trainees has completed a master's degree at TU Delft with a focus on data and systems. After completing the study, this trainee wanted to gain experience in a technical role with a social impact.
Via CodeHive, the trainee started as an MLOps Engineer at Enexis. There, work was done to automate the deployment process of machine learning models, setting up monitoring pipelines and improving CI/CD flows.
In addition to work, the trainee attended training courses in Kubernetes, cloud engineering and communication with stakeholders. We have now moved on to a permanent role within the Enexis data team, where the bridge is formed between data science and IT operations.
Do you have further questions? Get in touch with us.
Call Us 📞
+31 6 22 011 224
E-mail 📩
contact@codehive.nl
Adresse
CodeHive B.V.
North Square 249
3035 EE Rotterdam
What are you going to learn?
Machine Learning Applications
You'll learn how to apply existing ML models and train on new datasets to generate valuable insights and predictions.
MLOPs & Model Deployment
You'll discover how to not only train, but also reliably set up and maintain AI models in production environments using CI/CD and monitoring.
Data Preprocessing & Feature Engineering
You develop the skills to convert raw data into usable input for AI models, with an eye for quality, scalability and efficiency.
AI in the Cloud
You'll work with cloud platforms such as Azure, AWS, or GCP and learn how to use their AI and machine learning services for enterprise solutions.
Professional development
During the traineeship, you will also work on your soft skills. You will receive coaching that meets your learning needs, such as planning more effectively, dealing with pressure or providing constructive feedback.
Professionele ontwikkeling
Tijdens het traineeship werk je ook aan je soft skills. Je ontvangt coaching die aansluit bij jouw leerbehoefte, zoals effectiever plannen, omgaan met druk of constructief feedback geven.
Don't just take our word for it
Traineeships at CodeHive. This is what you can expect.
Cloud Fundamentals Certificate
Before the first work, the IT talent obtains the Cloud Fundamentals certificate
Start work
40 hours a week at work.
20-week cloud training
Start a 20-week training program: 2 hours of self-study + coaching and training from a cloud expert every Friday morning.
20-week data science training
20-week data science training: Data analysis, modeling, forecasting and more.
4 softskill training courses per year
Stakeholder management, communication, time management and giving & taking feedback.
Final evaluation
Final evaluation and, if positive, recruitment of IT talent after the traineeship.
Help build the future with these companies
Our warranty
Surrounded by the top engineers of your generation
At CodeHive, you work with the top 10% graduates from TU Delft, UvA and Erasmus, among others. You build a network of ambitious developers, data scientists and AI specialists who challenge you to get the best out of yourself.
Prepared to become a top IT professional within 1 year
Our IT traineeship combines working at leading tech companies with intensive guidance. You develop rapidly in roles such as software developer, data engineer or business analyst.
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Clients where you will become a tech leader
Work directly at companies such as Centric, GreenChoice and Enexis. Not only do you get a place in an impactful team, but you will grow into a key figure in innovative IT departments.
Training and coaching from ex-YC founders
Our coaching is led by experienced AI and software engineers, including alumni of the prestigious Y Combinator. Not only will you learn today's tools, but you'll also develop tomorrow's leadership and mindset.
FAQs
What added value does the CodeHive traineeship have compared to a normal graduate job?
Our trainees not only get access to a top training program, but also to the knowledge and insights of professionals who have already experienced many organizations and projects up close. Instead of one-sided experience within one company, you'll receive practical tips and tricks from experts who give you a 360-degree view of your field. As a result, you are much better equipped to do your work and tackle complex issues. In addition, you will build a powerful network of other ambitious tech talents, who will become tomorrow's leaders in the coming years. Together with our events and active community, this is a lasting source of inspiration, collaboration and opportunities for the future.
Finally, you will be paid at least the same or more than a situation where you would work directly for a client.
Will everyone be admitted to the traineeship?
No, we have a selection procedure that candidates go through with a resume check, introduction and capacity check. In addition, it is a requirement that you have completed an analytical study.
When does the traineeship start?
The traineeships usually start at different times of the year. This mainly depends on the client's needs.