Hey there! 👋

Are you an ambitious Lead Machine Learning engineer? Do you want to use your data science and engineering skills to help fast-growing tech scale-ups by means of ML? Furthermore, are you ready for the adventure of expanding Enjins together with our ambitious team? Then keep reading!

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] 👀

As a Machine Learning Engineer, you'll work within our growing Machine Learning team, comprising of 15 other equally amazing Machine Learning Engineers.

In this role, there is plenty of room for your ideas. Our team is growing fast and we'll support your growth ambitions as much as possible. We're flexible, and as long as you're proactive and take responsibility for your own work, we'll be a great match!

Some of the responsibilities [but not limited to;]

• You will lead the ML Engineering team together with the other Lead ML Engineers.
• You work in small teams on ML projects and take responsibility for maximum impact at our customers. You’re customer-facing and manage a growing set of accounts.
• You apply your machine learning, engineering and business knowledge and guide others to learn more. You are not afraid of new (technological) challenges. After all, our world is changing continuously!
• You are ready for more responsibility to carry our company forward! We will involve you in the important business decisions (team, customers, innovation) and give you more responsibilities along the way.

Within 1 month you'll:

• Finish the Enjins ML Engineering onboarding program, in which you will understand how Enjins work, be trained in our approach and become a certified cloud practitioner in AWS/Azure or GCP.
• Start your first customer project!

Within 3 months you'll:

• Develop and implement robust ML applications for your client, working on building new solutions and ironing out any old integration problems. This way laying the foundation of your ML engineering skills.
• Lead the ML team to new heights and bring your experience to solve any development issues
• Had multiple feedback moments with your project team before and after client meetings, to help you to improve your consulting and project management skills.

Within 6 months you'll:

• You'll identify new tools / methods / processes that work best.
• Have hired additional ML Engineers to join your growing Enjins’ ML team.

• Have helped your client move along rapidly - their velocity has increased significantly

Minimum Qualifications:🚶‍♀️

• You have a relevant background with respect to Machine Learning Engineering and a minimum of 3 years of relevant working experience.
• You are not afraid to connect with our clients on board level (CTO, CFO, CIO, etc) to achieve maximum results.
• You have experience with cloud infrastructure and data engineering.
• You have experience with containerization (Docker, Kubernetes), networking, ETL/ELT-tools and understand the basic concepts of MLOps.
• You are fluent in English and are eligible to work in Berlin.

Preferred Qualifications: 🏃‍♀️

• You have experience with machine learning and know how to create ML models and bring them to production.
• You consider yourself ambitious, responsible, pragmatic.

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 young, close and ambitious team of ML engineers.
• Diverse and challenging projects and clients in Berlin, read more about it here!
• A dedicated training program to improve your technical skills
• Other knowledge sharing sessions ranging from project discussions to (room for) learning on the job.
• 1-on-1 coach for your personal growth and development.
• An office in Berlin
• And last but not least, lots of fun! We promise!

Have we spiked your interest? 🌎