Senior Analytics & AI Engineer

Location: Fredrikstad, Norway; legal right to work in Norway required

Company

hirify.global provides scientific data, intelligence, analytics, and cloud-based data applications for energy-sector companies. hirify.global Prediktor provides asset management and real-time data management solutions for renewable and energy asset owners.

What you will do

• Develop analytics, machine-learning, and AI capabilities from initial ideas and proofs of concept through production.
• Design and build robust data and ML pipelines for analytics and AI applications.
• Apply statistical, machine-learning, and optimization methods to industrial and energy problems.
• Explore LLMs, RAG, tool use, and agentic AI where they create product value.
• Automate testing, deployment, monitoring, and continuous improvement of models and AI capabilities.
• Collaborate with product, software engineering, and domain teams on architecture and scalable product capabilities.

Requirements

• 7–8+ years of relevant professional experience across data engineering, analytics, machine learning, and production software environments.
• Experience working across disciplines and taking ownership of complex problems from experimentation through production.
• Strong experience with Python, SQL, and modern software engineering practices.
• Solid data-engineering experience with data modelling, transformation, pipelines, and data quality.
• Strong understanding of statistics, analytics, and classical machine learning.
• Experience taking ML or analytical solutions beyond notebooks and proofs of concept into production.
• Experience with cloud platforms, CI/CD, containers, and DevSecOps.
• Understanding of MLOps/ModelOps, including model evaluation, versioning, deployment, monitoring, and lifecycle management.
• Practical knowledge of LLM technologies, including embeddings, RAG, tool use, and AI agents, plus judgement about when to use traditional analytics/ML versus generative AI.
• Ability to work across research, engineering, product, and domain disciplines.
• A relevant degree in computer science, mathematics, engineering, or a related field is valuable; equivalent practical experience is equally considered.
• Must have the legal right to work in Norway.

Culture & Benefits

• Work across the full analytics, AI, data engineering, and production lifecycle.
• Collaborate with product teams, software engineers, and industrial and energy domain experts.
• Contribute to architecture and technology decisions across analytics, AI, and data engineering.
• Help evolve cloud technology, developer platforms, and a multi-cloud strategy.

Hiring process

• Submit an application by 16 November 2026.