Senior Machine Learning Engineer

Hey there! 👋

Are you an ambitious Senior 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 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 Dutch & foreign clients in ClimateTech, Mobility and Marketplaces.
• 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 to business stakeholders and focus on the human aspects to increase the impact of our ML applications.
• You’ll manage a growing set of projects.
• Together we will keep building our young company Enjins, in which you will play a more and more important role!

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.
• 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 helped in the interview process for additional ML Engineers to join Enjins’ growing 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 2 years of relevant working experience, in leading development projects and teams.
• 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.

Preferred Qualifications: 🏃‍♀️

• You have experience with at least one cloud platform (AWS, Azure or GCP) and its data engineering components.
• You have experience with the world of containerization (Kubernetes & Docker), networking, ETL/ELT-tools and understand the basic concepts of MLOps.
• You have experience in technical consultancy settings
• You are a passionate engineer who loves 1) to contribute to making a positive impact and 2) discovering new programming languages, frameworks or cloud services. After all, our world is changing continuously!
• You are fluent in both Dutch and 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 Leads and 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 sparked 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 [email protected]