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Machine Learning Engineer Technology

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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 critical role in bridging the gap between Data Science and IT operations. Your primary responsibility will be to deploy, monitor, and optimize machine learning models and AI applications, ensuring seamless integration into the organization’s infrastructure. You will also contribute to lifecycle management, scalability, and performance optimization of AI systems.

Key Responsibilities
  1. Model Deployment: Collaborate with Data Scientists to deploy optimized models for production, ensuring adherence to best practices for security, scalability, and reliability.
  2. Data Pipeline Management: Design and implement automated and efficient data pipelines to support continuous integration and deployment (CI/CD).
  3. Environment Setup: Assist teams in setting up projects by managing dependencies, configuring environments, and integrating tooling for code quality, testing, and deployment.
  4. Data Flow Design: Establish and maintain seamless data flows between sources such as Cloud Storage, SQL databases, and other platforms to support AI applications.
  5. Lifecycle Management: Oversee the lifecycle of AI applications, including performance monitoring, regular updates, incident management, and troubleshooting.
  6. Kubernetes Orchestration: Use Kubernetes to manage and streamline the deployment of containerized components, ensuring efficient resource utilization and system reliability.
  7. Incident Management: Promptly handle incidents, troubleshoot issues, and communicate updates to stakeholders while conducting root-cause analyses and post-mortems.
  8. Innovation and Optimization: Explore innovative solutions to enhance AI capabilities and streamline model integration processes.
RequirementsEducation
  1. Master’s degree in Computer Science or a related field.
  2. Substantial knowledge in Programming, System Engineering, or DevOps is highly valued.
Technical Expertise
  1. Strong proficiency in Python.
  2. Hands-on experience with REST APIs and Git version control.
  3. Proven expertise in MLOps/DevOps, including CI/CD pipeline automation.
  4. Familiarity with containerization tools (e.g., Docker) and orchestration systems (e.g., Kubernetes).
  5. Knowledge of software testing practices and Linux operating systems.
  6. Nice to have: SQL, PostgreSQL, Mlflow, Helm charts.
Soft Skills
  1. Collaborative and team-oriented mindset.
  2. Proactive, results-driven, and adaptable in a dynamic environment.
  3. Strong communication, analytical, and problem-solving skills.
Language Proficiency
  1. Fluent in English (spoken and written).
  2. Additional knowledge of other languages is a plus.
Why Joining Us?
  1. You will be part of a fast-growing international company with a unique people culture.
  2. A very competitive salary package including a company car, iPhone, and different allowances.
  3. You will get extensive training 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.
  4. You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
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