Senior ML & GenAI Engineer—Production-Ready

Twoday; Aarhus; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Twoday is seeking a Senior AI/ML Engineer to build and operate the machine learning and generative AI systems for customers, in cloud or on-premises environments, alongside data engineers, data scientists, cloud architects, and software developers.

This hands-on role emphasizes code, deployment, and technical ownership with opportunities to grow into a lead role. Danish fluency is required for collaboration with Nordic teams and clients.

Qualifications

• Hands-on AI & ML engineering experience, including at least one or two models or AI services you have taken to production and helped operate.
• Strong Python and solid software engineering fundamentals: version control, testing, code review, packaging, CI/CD.
• Working MLOps knowledge: training and inference pipelines, experiment tracking, model registries, deployment patterns (batch and real‑time), and monitoring for drift, data quality, and model degradation.
• Experience on Azure: Azure Machine Learning, Databricks, or Microsoft Fabric (Experience from AWS or GCP transfers, and we will not hold it against you.)
• Familiarity with infrastructure as code (Terraform or Bicep) and containers. Kubernetes is a plus.
• Experience productionising generative AI including RAG architectures, orchestration frameworks, prompt and model evaluation, guardrails, and agent development.
• An awareness of what governance means in practice: lineage, reproducibility, access control, GDPR, and the documentation the EU AI Act increasingly requires. You do not need to have all the answers, but you should know the questions matter.
• The ability to work directly with a customer's technical team and explain what you built and why, without flattening the trade‑offs into a slogan.
• Fluent spoken and written Danish is a requirement.

Responsibilities

• Build and productionise ML and GenAI solutions for our customers: data and training pipelines, model serving, and the automation around both.
• Set up and maintain the monitoring, alerting, and retraining that keep the systems you deliver working after go‑live.
• Work closely with customers' engineers and data teams through delivery and handover.
• Share what you know: code reviews, internal sessions, and pairing with less experienced colleagues.
• Grow towards a lead role over time if that is the direction you want. We will support it.

Skills

AI/ML engineering

Python

MLOps

Azure ML

Databricks

Terraform

Bicep

Kubernetes

GenAI production

Governance

CI/CD

Customer collaboration

Tools

Azure ML

Databricks

Terraform

Bicep

Kubernetes

Job description

Twoday is seeking a Senior AI/ML Engineer to build and operate the machine learning and generative AI systems for customers, in cloud or on-premises environments, alongside data engineers, data scientists, cloud architects, and software developers.

This hands-on role emphasizes code, deployment, and technical ownership with opportunities to grow into a lead role. Danish fluency is required for collaboration with Nordic teams and clients.