ML OPS Engineer / AI Engineer
About NORRIQ
NORRIQ is an international group based in Denmark and Belgium, comprising over 350 consultants dedicated to unlocking the full business potential of companies through technology and digital transformation.
We have a specialized Financial Services practice that is experiencing rapid growth. Over 100 consultants focus exclusively on the financial services sector, assisting banks and insurances in redesigning their operations to meet changing client expectations, adopt new technologies, and adhere to evolving regulations (DORA, RIS, AI Act, AML, KYC, etc).
At NORRIQ, our employees are at the heart of our organization and our success.. We hire and nurture passionate individuals who strive for excellence for both our clients and colleagues. Our culture supports personal and professional growth with training, opportunities, and creative freedom. Regardless of when you join or how long you stay, you'll experience an unforgettable NORRIQ journey and become a part of our extended family. Connected forever!
Role Overview
As an MLOps Engineer / AI Engineer, you will play a central role in bridging Data Science and IT Operations. You will design, deploy, and scale production-grade machine learning and AI solutions for our financial services clients. Your mission is to ensure robust, secure, and efficient AI operations—covering deployment, observability, lifecycle management, and continuous improvement.
This role is ideal for someone who loves building AI infrastructure, optimizing performance, and enabling data scientists to move faster and safer.
Key Responsibilities
- Deploy ML/AI Models: Work with Data Scientists to deploy secure, scalable, and reliable models into production.
- Build CI/CD Pipelines: Automate testing, packaging, and deployment for data and model workflows.
- Manage Data Pipelines: Design and maintain efficient data flows across storage systems, databases, and platforms.
- Set Up Environments: Manage dependencies, development environments, and tooling for smooth project onboarding.
- Operate Kubernetes: Deploy and maintain containerized AI components using Kubernetes.
- Monitor & Troubleshoot: Oversee model/application performance, resolve incidents, and conduct root-cause analyses.
- Optimize & Innovate: Identify improvements, adopt new technologies, and enhance AI engineering practices.
Requirements
Education
Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong background in programming, system engineering, or DevOps is highly valued.
Technical Skills
Strong proficiency in Python.
Experience with REST APIs and Git.
Hands-on expertise in CI/CD and MLOps/DevOps practices.
Practical experience with Docker and Kubernetes.
Familiarity with Linux, software testing, and modern software engineering workflows.
Nice to have: SQL/PostgreSQL, MLflow, Helm, or related tooling.
Soft Skills
Collaborative and team-oriented mindset.
Proactive, solution-driven, and comfortable working in dynamic environments.
Strong communication, analytical, and problem-solving abilities.
Languages
Why Joining Us?
- You will be part of a fast growing international company with a unique people culture
- A very competitive salary package including a company car, iPhone and different allowances
- You will get extensive trainings in Belgium and Denmark on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
- You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
