Senior AI/ML Engineer

Location: Copenhagen, Denmark; flexibility to work from hirify.global headquarters in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius at times.

Company

hirify.global is a Northern European digital transformation partner with approximately 3,000 technologists serving more than 8,000 private and public-sector customers across Data & AI, software development, digital experiences, and business applications.

What you will do

• Build and productionise machine learning and generative AI solutions, including data and training pipelines, model serving, and deployment automation.
• Set up and maintain monitoring, alerting, and retraining for production systems, including drift, data quality, and model degradation monitoring.
• Develop generative AI solutions using RAG architectures, orchestration frameworks, evaluation, guardrails, and agents.
• Work directly with customer engineers and data teams through delivery, handover, and technical explanation of trade-offs.
• Contribute through code reviews, internal sessions, and pairing with less experienced colleagues, with the possibility of growing toward a lead role.

Requirements

• Hands-on AI and machine learning engineering experience, including taking at least one or two models or AI services to production and operating them afterward.
• Strong Python and software engineering fundamentals, including version control, testing, code review, packaging, and CI/CD.
• Working MLOps knowledge covering training and inference pipelines, experiment tracking, model registries, batch and real-time deployment patterns, and production monitoring.
• Experience with Azure Machine Learning, Databricks, or Microsoft Fabric; AWS or GCP experience can transfer.
• Experience with infrastructure as code using Terraform or Bicep and with containers.
• Practical awareness of governance requirements including lineage, reproducibility, access control, GDPR, and EU AI Act documentation.
• Ability to work directly with customer technical teams and explain implemented solutions and trade-offs.
• Fluent spoken and written Danish is required.
• Ownership, pragmatism, comfort with complex environments, and ability to collaborate across disciplines.

Nice to have

• Kubernetes experience.

Culture & Benefits

• Work alongside data engineers, data scientists, cloud architects, and software developers in large Nordic Data & AI teams.
• Hands-on technical ownership with experienced colleagues and opportunities to develop in an international technology group.
• Access to modern offices across 30 locations in Norway, Sweden, Denmark, Finland, and Lithuania.
• Strong social environment and focus on diversity and inclusion.