aipythonkubernetesterraformazureragmlopsci cdmachine learninggenerative ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко определена с сильным акцентом на архитектуру AI/ML, но компания является аутсорсинговой, что может подразумевать менее благоприятный баланс между работой и личной жизнью.
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Текст:
Hirify AI/Оригинал
TL;DR
Lead AI/ML Architect (AI/ML): Designing and operating production-grade machine learning and generative AI systems for customers with an accent on MLOps, governance, and scalable cloud architecture. Focus on building training and inference pipelines, monitoring model behavior, implementing RAG and agent systems, and leading technical direction across data and engineering teams.
Location: Copenhagen, Denmark
Company
hirify.global is a Northern European digital transformation partner with approximately 3,000 technologists, delivering Data & AI, software development, digital experiences, and business applications for private and public organizations across the Nordics and Lithuania.
What you will do
Lead the architecture, engineering, and production operation of machine learning and generative AI systems for customers.
Own the ML platform layer, including training and inference pipelines, deployment automation, model and prompt lifecycles, monitoring, and alerting.
Define engineering standards, reference architectures, reusable components, and code-quality practices.
Work directly with customers to shape technical approaches, challenge requirements, and translate business outcomes into system designs.
Mentor data scientists and engineers and grow ML engineering capability across the Danish team.
Support AI initiative scoping and pre-sales, evaluate new tools and models, and represent global AI/ML offerings locally.
Requirements
Several years of hands-on AI and ML engineering experience, including taking multiple models or AI services through production and operating them afterward.
Strong Python and software engineering fundamentals, including version control, testing, code review, packaging, and CI/CD.
Practical MLOps experience with training and inference pipelines, experiment tracking, model registries, feature reuse, batch, real-time and streaming deployment, monitoring for drift, data quality and model degradation, and automated retraining.
Experience with Azure Machine Learning, Databricks, or Microsoft Fabric; AWS or GCP experience is transferable.
Experience with infrastructure as code using Terraform or Bicep, containers, and Kubernetes.
Experience productionising generative AI, including RAG architectures, orchestration frameworks, prompt and model evaluation, guardrails, and agent development.
Practical understanding of governance, including lineage, reproducibility, access control, GDPR, and documentation increasingly required by the EU AI Act.
Ability to explain technical trade-offs to customer business stakeholders.
Leadership through technical direction, mentoring, and raising engineering standards.
Fluent spoken and written Danish is required.
Ownership, pragmatism, focus on real-world value, cross-disciplinary collaboration, and the ability to increase the capability of colleagues and customer engineers.
Culture & Benefits
Central role in an international and innovative technology and software group.
Modern offices across 30 locations in Norway, Sweden, Denmark, Finland, and Lithuania.
Strong social environment with highly engaged employees.
Flexibility to work from hirify.global offices in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius at times.
Commitment to diversity and inclusion; candidates are encouraged to apply even if they do not meet every listed qualification.
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