As a data engineer, you ensure that the technical solution will be actually implemented at the customer’s site. Your main responsibility is setting up the framework around the analytical model. This typically includes retrieving and combining the data from different source systems, integrating components into functional solutions and setting up a model management system.
As an experienced data scientist, you will lead our projects and other data scientist to make our customers extremely happy. Your responsibility in this role is to analyse and interpret large amounts of complex data. In order to analyse this complex data in an efficient and effective manner, you will use statistical and mathematical techniques to develop models, algorithms and other cool stuff.
The Analytics Engineer is the bridge between business and engineering, and you understand what data can bring to the organization.
You are comfortable to be a bridge between data scientists and data engineers to build production-ready, scalable applications driven by data and AI.
With your knowledge of software engineering, cloud, clusters, queues, containers, streaming, or graphs you work on the backbone of the data infrastructure.
At iterative.ai, we build open-source tools for machine learning, such as DVC (9k+ ⭐ on GitHub), CML (3k+ ⭐ on GitHub), and enterprise-grade data infrastructure solutions. We also offer a team collaboration SaaS solution: IterativeStudio.
We’re a well-funded (Series A), remote-first team (50+ employees) on a mission to solve the complexities of managing datasets, ML infrastructure, ML models lifecycle, and other ML & data-centric workflows.
You’ll be joining a small team incubating a state-of-the-art open-source label management solution. The role is high-impact, versatile and requires creativity and deep-dive into systems engineering territories. We are looking for strong software engineers who care deeply about writing thoughtful and elegant code, and designing scaleable frameworks.
The ML tools ecosystem is what JS space was 10 years ago: there’s a clear need for better tools, frameworks, and open standards. ITERATIVE is already a well known company in this fast-evolving space with a big, engaged open-source community. Please consider joining our remote-first team if you love open-source, if you’re interested in building dev tools and simplifying the lives of many devs!
We’re seeking an experienced technology writer to help us sustain and improve our growing user-facing articles and documentation! Join us if you’d love to become an expert on the philosophy and usage of our tools, and then explain, teach, and support them.
BigData Republic is a leading data consultancy firm, specialized in data science, data engineering and machine learning technology. We’re a small company with a quality over quantity approach. Our data scientists and data engineers use a hands-on approach to develop data applications, create predictive models, build data platforms and design infrastructures. Our culture is centered around collaboration and growth, and we are motivated by helping others. We love to share our knowledge but we also like to be challenged by 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. Interested? We’d like to hear from you!
As data engineer at BigData Republic you’ll consult the biggest companies in the Netherlands on complex challenges. Do you know what it takes to engineer software in a complex data landscape? To develop big data and machine learning applicatons? If so, you’re the kind of data engineer we’re looking for.
A machine learning engineer at BigData Republic is a hands-on expert. He or she not only brings models into production, but also advises clients on the best approach to take. Read more and apply if that sounds like you!
If you’re one of our MLOps Engineers, 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. Interested? Apply and join us!
Making the best even better DAF is a leading global technology company and part of PACCAR. A career at DAF Trucks means being part of one of Europe’s most successful automotive brands, a high tech company where you can further develop your talents.
A career at DAF means working in a dynamic team, with ambition, commitment and focused on achieving results. DAF employees are proud, they find their work rewarding and challenging. Just like you, they understand how their work directly contributes to the overall success of DAF.
As Software Integration Analyst you are responsible for the correct integration of all software platform components, which are delivered by the various software suppliers to ensure that all current and future system releases are working efficiently. This requires in-depth technical knowledge of all relevant software components and their mutual interaction.
Enterprise IT infrastructure is structured in a fairly simple configuration; it is composed of endpoints (desktops), network, servers, gateway and perimeter devices.