Role overview
Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
What you'll work on
- Designing and assessing serverless compute architectures for AI and data workloads.
- Building and optimizing scalable serverless data and machine learning environments.
- Developing and maintaining CI/CD pipelines for AI and data platform components.
- Ensuring reliability, performance, monitoring, and cost optimization of platform services.
- Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert.
- Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards.
What we're looking for
- Proven experience designing and implementing machine learning and AI solutions in a cloud environment.
- Strong understanding of modern data and ML platform architectures, including serverless compute.
- Hands-on experience with serverless, integration, and event-driven architectures.
- Strong programming skills in Python, SQL, and distributed data processing frameworks.
- Experience with CI/CD, MLOps, and Infrastructure as Code practices.
- Solid understanding of scalability, cost management, and performance optimization for cloud workloads.
- Knowledge of security, privacy, and compliance considerations for AI and data solutions.
- Experience designing and implementing observability, monitoring, and alerting in production environments.
Tags & focus areas
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