Machine Learning Engineer

Il y a 4 heures

Brussels, Belgique NORRIQ Temps plein
ph3About NORRIQ /h3 /brpNORRIQ 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. /p /brpWe 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). /p /brpAt 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 /p /brh3Role Overview /h3 /brpAs 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. /p /brpThis role is ideal for someone who loves building AI infrastructure, optimizing performance, and enabling data scientists to move faster and safer. /p /brh3Key Responsibilities /h3 /brul /brliDeploy ML/AI Models: Work with Data Scientists to deploy secure, scalable, and reliable models into production. /li /brliBuild CI/CD Pipelines: Automate testing, packaging, and deployment for data and model workflows. /li /brliManage Data Pipelines: Design and maintain efficient data flows across storage systems, databases, and platforms. /li /brliSet Up Environments: Manage dependencies, development environments, and tooling for smooth project onboarding. /li /brliOperate Kubernetes: Deploy and maintain containerized AI components using Kubernetes. /li /brliMonitor Troubleshoot: Oversee model/application performance, resolve incidents, and conduct root-cause analyses. /li /brliOptimize Innovate: Identify improvements, adopt new technologies, and enhance AI engineering practices. /li /br /ul /brh3Requirements /h3 /brh3Education /h3 /brul /brliBachelor’s degree in Computer Science, Engineering, or a related field. /li /brliStrong background in programming, system engineering, or DevOps is highly valued. /li /br /ul /brh3Technical Skills /h3 /brul /brliStrong proficiency in Python. /li /brliExperience with REST APIs and Git. /li /brliHands-on expertise in CI/CD and MLOps/DevOps practices. /li /brliPractical experience with Docker and Kubernetes. /li /brliFamiliarity with Linux, software testing, and modern software engineering workflows. /li /brliNice to have: SQL/PostgreSQL, MLflow, Helm, or related tooling. /li /br /ul /brh3Soft Skills /h3 /brul /brliCollaborative and team-oriented mindset. /li /brliProactive, solution-driven, and comfortable working in dynamic environments. /li /brliStrong communication, analytical, and problem-solving abilities. /li /br /ul /brh3Languages /h3 /brul /brliFluent in English (spoken and written). /li /brliKnowledge of additional languages (Dutch or French) is a plus. /li /br /ul /brh3Why Joining Us? /h3 /brul /brliYou will be part of a fast growing international company with a unique people culture /li /brliA very competitive salary package including a company car, iPhone and different allowances /li /brliYou 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. /li /brliYou will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services. /li /br /ul /p