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 in ClimateTech, Mobility and Marketplaces by means of ML? Furthermore, are you ready for the adventure of expanding Enjins together with our ambitious team? Then keep reading!

About us 🚀

At Enjins, we're committed to building AI solutions for meaningful change. We do this for customers in industries where a positive change can be made: Climate tech, Mobility and Marketplaces. Our portfolio includes partnerships with renowned names like Crisp, Groendus, SnappCar, Tier Mobility, Independer, PlanBlue (check our cases page for examples of our work).

With our headquarters in the Netherlands (Utrecht) and a second hub in Berlin we have shown impressive growth year-over-year, a proven proposition that fits current market needs, and a strong branding that resembles quality, innovation, and pragmatism. In 2024, we’ll continue to invest in expanding our sales team within the Utrecht Hub to further grow our reach in the Dutch scale-up ecosystem. As the AI industry is booming, we have ambitious goals for the coming years ahead. From this hub, our ML engineers develop innovative AI solutions in collaboration with various scale-up customers.

At Enjins, our success hinges upon the quality of our team and the breadth of their ideas. We believe that truly remarkable insights and innovative solutions for our customers emerge from the rich interplay of diverse cultures, knowledge, and experiences among our workforces.

What? [You'll be doing] 👀

As a Lead Machine Learning Engineer, you'll work within our growing Machine Learning team. 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

Requirements

Minimum Qualifications:🚶‍♀️

• You have a relevant background with respect to Machine Learning Engineering and a minimum of 3 years of relevant working experience.
• You have experience in coaching and managing project delivery, teams and accounts.
• 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.

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.
• You are fluent in English and are eligible to work in the Netherlands.

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:

• Join a dynamic team at the forefront of Data & AI technology.
• Flourish in an empowering, innovative, and global environment.
• A dedicated and personal training program to improve your skills (MLEAP) and 1-on-1 coaching from our C-Level.
• Become part of a diverse and driven team enjoying monthly social events such as themed parties, board game nights, sports tournaments, and pub quizzes.
• Work from our office centrally located in Utrecht along the picturesque Oudegracht. Our office is not yet fully accessible to individuals with physical disabilities.
• Receive an Apple MacBook Pro for work.
• Enjoy 28 vacation days (based on full-time employment), comprising 20 statutory vacation days and an additional 8 days provided by the employer. You have the flexibility to utilise 3 national holidays (Easter Monday, Whit Monday, & Ascension Day) among the 8 days provided.

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