MLOps Engineer
Faktion BVover 2 years ago
Antwerp, BelgiumSenior
Responsibilities
- Design and build machine learning pipelines and cloud infrastructure for production-scale ML systems.
- Convert offline models developed by data scientists into production machine learning systems.
- Develop and deploy scalable tools and services for machine learning training and inference.
- Evaluate technologies that improve the performance, maintainability, and reliability of client ML systems.
- Apply software engineering practices including CI/CD and automation to machine learning systems.
- Implement security, auditability, versioning, and data-security practices for sensitive data and model outputs.
- Investigate and resolve issues involving model performance, data pipelines, and infrastructure.
- Set up APIs using serverless functions and translate business needs into technical requirements.
- Help establish Faktion’s inaugural MLOps team and share knowledge across the organization.
Requirements
- Strong software engineering skills in complex, multi-language systems and fluency in Python.
- Experience setting up CI/CD pipelines with tools such as Azure DevOps or GitHub Actions.
- Experience with message brokers or messaging services such as MS Service Bus, Kafka, or RabbitMQ.
- Experience with cloud computing and database systems.
- Experience setting up APIs using serverless functions such as Azure Functions.
- Experience developing and maintaining machine learning systems with open-source tools.
- Experience developing with containers and Kubernetes in cloud computing environments.
- Experience setting up infrastructure with tools such as Terraform or Bicep.
- Excellent written and verbal communication skills in native English or native Dutch; French is a plus.
- Experience deploying scalable machine learning models is a plus.
- Experience with software testing, benchmarking, continuous integration, machine learning methodologies, deep learning, or modeling frameworks is a plus.
- Experience in GenAI, Data Quality, Retail, Manufacturing, or Finance is a plus.
Benefits
- Rewarding salary package with additional perks including a company car and fuel card or a mobility budget.
- Hospitalization and group insurance.
- Company-provided laptop and smartphone.
- Individual and team development opportunities supporting professional growth.
- Innovation budget for educational and challenging open-source projects within the guild.
- Virtual and in-person team-building activities and gatherings.
- Flexible hybrid working policy allowing employees to choose where, how, and when they work.
Tech Stack
Categories
About Faktion BV
Faktion is an Antwerp-based AI product studio and consultancy that designs and builds enterprise machine-learning applications and APIs for industrial operations and business functions. It offers AI advisory, solution delivery, and productization services, including generative AI, NLP, and document processing. Founded in 2016 and privately held, Faktion incubated Chatlayer (conversational AI) and Metamaze (intelligent document processing) and serves customers across manufacturing, logistics, and other sectors.