MLOps engineering is at a challenging crossroads where machine learning, software engineering and cloud engineering come together. If this is your passion, we're looking for you. Read more and apply directly!
- Hybrid working
- Multi-industry client portfolio
Vacancy MLOps Engineer
At BigData Republic we don't fit into common role descriptions that well. And this is a great thing.
Perhaps you are a data scientist who has a passion for engineering, or a data engineer who has a passion for data science. Perhaps you are a software engineer that knows everything about machine learning, or a cloud expert with a fascination for deep learning. Perhaps you are a consultant who likes to code, or a developer who likes to consult. Or maybe you just have no idea how your specific skill set in the data domain is supposed to be called according to the latest fashion.
But what you do know is that you love the exciting possibilities of machine learning and big data. You have a background in Computer Science, Artificial Intelligence or similar, you have several years of experience in the field, and want to share your knowledge and passion with others to turn it into something useful for the world.
We aim to combine the best of all worlds for experienced specialists in data science, machine learning and big data. We have a strong focus on technical expertise, a software engineering mindset and way-of-working.
Knowledge sharing and thought leadership are fundamental pillars of our organization. Every Friday we host knowledge sharing sessions at our office. We write blog posts, organize meetups and visit conferences. But we also train and coach the consultants from our sister company Vantage AI, where the best machine learning talents in the market come to learn and grow.
If you join us, you'll work on complex challenges for large client organizations (see our services page for an impression of industries and use cases). At the same time, you're part of a small, informal team of colleagues that know each other really well, share knowledge and inspire each other.
At BigData Republic you can be the expert in the room, and at the same time learn something new every day from your colleagues. And most importantly, you can be yourself.
About the job
MLOps engineering is at a challenging crossroads where machine learning, software engineering and cloud engineering come together. If this is your passion and you have a background in Computer Science, Artificial Intelligence or similar, you will be an excellent addition to our team. Since you're a hands-on expert and a consultant in one, it's important to guide and advise the client on the best approach to take. Whether that's a combination of managed services or a custom built machine learning platform is up to you.
- We approach machine learning solutions as full-stack software development projects and use technologies such as Python, Airflow, Spark, Kafka, Docker, Kubernetes and Terraform on all the major cloud platforms as well as private cloud environments.
- Bringing solutions to production is key, so scalable deployment, model interfacing and model monitoring are important aspects that you'll come across.
Want to work for clients like these?
What we offer you
We'll provide you with everything that you need to comfortably do your work. To travel where you need to go, to pay your bills, and to foster a great work-life balance. That includes:
Plenty of training and coaching opportunities. You also get to spend 10% of your time on knowledge sharing, personal growth, thought leadership and fun internal projects.
A competitive salary, a holiday allowance, and a 13th month bonus. Additionally, a flexible mobility budget for youw own preferred mix of public transportation, leasing bike or car.
Social events both in & out of the office, such as our summer events, Christmas dinner and annual weekend getaway with the whole team.
A hybrid working philosophy and a budget to spend on your working environment at home.
And most of all, you'll join a team of friends.
- You apply and we get in touch
- We meet face-to-face for an interview
- You receive a hands-on use case to showcase your talents and skills
- We discuss your use case during the second interview
- An offer comes your way