Hey there! 👋

Are you looking for a place to graduate where you can gain hands-on experience in deploying, scaling, and maintaining AI-driven solutions? Do you want to bridge the gap between machine learning and production systems? Then join our team as an ML Engineering intern! 

Why? 🤔

At Enjins we want to make Machine Learning solutions that are here to stay. Our mission is to become the go-to ML engineering company in the world of tech scale-ups, for both talent and customers.

How? 🚀

We are driven by impact, and so is our vision on Machine Learning. We don’t want a data scientists’ laptop to be a graveyard for brilliant models. That’s why we created an approach that allows us to actually implement Machine Learning that realises business value. This approach demands our ML engineers to stand out in engineering, data science and consulting skills.

What? [You'll be doing] 👀

We are looking for an intern to strengthen our team in one of two exciting graduation projects. You’ll work on innovative AI solutions, focusing on automation, deployment, and optimization of machine learning systems. Your research and implementation will contribute directly to real-world applications, working closely with our AI engineers in a dynamic environment of start- and scaleups. 

Your responsibilities: 

• Design, develop, and optimize AI pipelines for scalable deployment. 

• Research best practices for monitoring, versioning, and automating AI workflows. 

• Implement solutions that enhance the efficiency and reliability of AI models in production. 

• Collaborate with a small team to bring innovative AI solutions to life. 

Your graduation project options: 

1. Oddit: We are currently developing an LLM-based application called Oddit that is able to create AI roadmaps and strategies based on inputs such as interviews, data quality scans and code reviews. Basically, we automate our own workflow. Within this project there are plenty GenAI research angles, that will have direct impact on our product (Oddit). 
2. Your AI Engineering Pitch: Bring your own AI engineering topic related to our focus industries ClimateTech, Marketplaces, or Mobility. Whether it’s optimizing an AI model performance in Energy, improving real-time data pipelines in a geospatial setting, or enhancing the AI system scalability for a large platform, we encourage you to pitch an AI idea that aligns with our focus industry. 

Starting date: 1st of April or May: 4-6 months 

Requirements

Who are you?:🚶‍♀️

• You’re graduating in a Master’s Degree in AI, Computer Science, Software Engineering, or a similar (technical) field. 
• You have some experience with cloud platforms (e.g., AWS, GCP, or Azure). 
• You’re familiar with Python and have experience with CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment. 
• You are pragmatic, proactive, and thrive in small, agile teams. 
• You are fluent in at least English. 
• You like to build stuff; preferably you have an ambition to grow your skills in both software as well as AI/ML. 

Benefits

What to expect from us: ⚡️

We look for people that want to enjoy the ride of a start-up and benefit from the freedom in the role:

• A team of talented and ambitious ML engineers. 
• Insights into real-world AI challenges and deployment strategies. 
• The possibility of a full-time position as AI engineer at Enjins after your internship. 

Have we spiked your interest? 🌎

Let’s have a talk! In the first meeting you talk directly to one of our Lead ML engineers, so ask everything you want to know. If you want to reach out to us before applying with any questions, drop us an email at work@enjins.com