Take your Data and AI applications into production with ease.
Taking models into production requires a professional workflow, high-quality standards, and scalable code and infrastructure. Data Science in Production is dedicated to reaping benefits from data by taking data-driven applications into production.
Read our magazine Data Science in Production for practical tips and insights to:
- introduce a professional workflow
- improve your quality standards
- develop scalable code and infrastructure
- and much more.
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Data Science in Production Magazine #2
- Setup and structure a Spark application in scala
- Fairness in machine learning with PyTorch
- Typechecking SQL queries with doobie
Interested in joining GoDataDriven?
Your passion is data and analytics. You help our clients with uncovering, organizing, and making sense of their data. You feel comfortable operating in the sweet spot between analytics translation, data science, and data engineering. After unearthing the needs of the business, you make sure the right data is available for creating a valuable solution with analytics. Your beautiful data visualizations allow for a quick understanding, providing the business with direct, actionable insights.
As a machine learning engineer, you work together with data scientists and data engineers on the team to build production-ready, scalable applications driven by data and AI in the Amsterdam area.
You’re a scientist or engineer who is not afraid of maths and who understands how to take models into production. Bringing something from laptop to cluster takes skill and courage and you’re not afraid to do just that.
You are passionate about helping organizations drive their success with Data & AI. You feel comfortable operating at the sweet spot between UX, Tech and Business. And, after uncovering the needs of the business, you’re not afraid to take ownership and make sure the right solution goes into production.
You’re an engineer at heart with a pragmatic attitude and the responsibility of someone maintaining production systems. You easily switch between scripting and structured programming in typed languages. You understand failure modes in distributed systems and you’re passionate about provisioning and automation. And you know how to build robust systems.
We are looking for senior data scientists who feel at home at the intersection between science, mathematics, machine learning, business, and coaching. You have experience in building value from data through ML and software.
Are you ready to take responsibility for the digital strategy of this AI consultancy and academy boutique and help us to grow nationally and internationally? Does your mind fizz with result-driven ideas and do you walk your talk? Then this might be the role for you.