Machine Learning Engineer (Berlin)

at  Enjins

Hey there!
Are you an ambitious 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!

MINIMUM QUALIFICATIONS:‍ ️

• You have finished your Bachelor’s or Master’s Degree in Computer Science, Software Engineering or another (technical) degree that is of relevance.
• You are ambitious, pragmatic and proactive and you like to work in small teams for innovative clients.
• You are not afraid to connect with our clients on board level (CTO, CFO, CIO, etc) to achieve maximum results.
• You know your way around Python, SQL and Git.
• You are fluent in English and are eligible to work in Berlin

PREFERRED QUALIFICATIONS: ‍ ️

• You are familiar with the world of containerization (Kubernetes & Docker), networking, ETL/ELT-tools and understand the basic concepts of MLOps.
• You are a passionate engineer who loves discovering new programming languages, frameworks or cloud services. After all, our world is changing continuously!
• You have (working) experience in a similar function/field.

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 become a full member of our fast-growing ML Engineering team.
• You’ll work in small teams on ML projects for innovative Berlin based clients (industries from sharing economy clients to MedTech).
• You’ll develop and implement robust ML applications for these clients.
• You’ll apply your data engineering, computer science and machine learning knowledge on projects and you work with the latest technologies such as Kubernetes, Airflow and Kafka.
• You’ll translate the implications of the project to business stakeholders and focus on the human aspects to increase the impact of our ML applications.
• Together we will keep building our young company Enjins, in which you will play a more and more important role!

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