We are looking for a Senior Analytics \\& AI Engineer

TGS Prediktor AS; Fredrikstad; Sur place; NOK 900 000 - 1 300 000; Plein temps

Résumé du poste

TGS Prediktor is seeking a Senior Analytics & AI Engineer to craft analytics, ML and AI capabilities from PoC to production. You will design data and ML pipelines, apply ML methods to energy and industrial problems, and explore LLM tech like embeddings and AI agents to add product value.

You will collaborate with cross-functional teams to translate customer problems into scalable, reliable product capabilities and help set architecture across analytics, AI, and data engineering.

Qualifications

• 7-8+ years of experience across data engineering, analytics, ML and production software.
• Strong experience with Python, SQL, and modern software engineering practices.
• Experience with cloud platforms, CI/CD, containers, and DevSecOps practices.
• Understanding of MLOps/ModelOps, including evaluation, versioning, deployment, and monitoring.
• Knowledge of modern LLM technologies including embeddings, RAG, tool use, and AI agents.

Responsabilités

• Develop analytics, ML and AI capabilities from PoC through to production.
• Design and build robust data and ML pipelines supporting analytics and AI applications.
• Apply statistical, ML and optimization methods to real-world industrial problems.
• Explore LLMs, RAG, and agents to create meaningful product value.
• Build automation for testing, deployment, monitoring and CI/CD of models.
• Apply MLOps/ModelOps and DevOps practices to ensure reproducibility, observability and security.
• Collaborate with product teams, software engineers, and domain experts to turn problems into scalable capabilities.
• Support architecture and technology decisions across analytics, AI and data engineering.

Connaissances

Python

SQL

MLOps

DevSecOps

LLMs

RAG

AI agents

CI/CD

Data analytics

Production software

Formation

Computer science / mathematics / engineering or related field

Outils

CI/CD

Containers

Cloud platforms

Description du poste

• Sektor Privat

Develop analytics, ML, and AI capabilities from PoC to production, building data/ML pipelines and applying MLOps and DevOps practices.

• 7-8+ years of experience across data engineering, analytics, machine learning, and production software
• Strong experience with Python, SQL, and modern software engineering practices
• Experience with cloud platforms, CI/CD, containers, and DevSecOps practices
• Understanding of MLOps/ModelOps, including model evaluation, versioning, deployment, and monitoring
• Practical knowledge of modern LLM technologies, including embeddings, RAG, tool use, and AI agents

We are looking for a Senior Analytics & AI Engineer

At TGS Prediktor, we use data, analytics, and AI to help our customers understand and improve the performance of their energy and industrial assets.

We are looking for a Senior Analytics & AI Engineer who combines strong analytical and machine-learning expertise, with the engineering skills needed to bring ideas into production.

You will work across the full lifecycle, from exploring data and developing models and proofs of concept to building the data, ML and DevSecOps pipelines required to turn them into scalable, reliable product capabilities.

The role spans both classical analytics and machine learning and modern AI technologies such as LLMs, RAG, and AI agents. You will help us choose the right approach for the problem and ensure that what we build can be operated successfully in production.

What you will do

Develop analytics, ML and AI capabilities from idea and PoC through to production

Design and build robust data and ML pipelines supporting analytics and AI applications

Develop and apply statistical, machine-learning and optimization methods to real-world industrial and energy problems

Explore and apply LLMs, RAG, and agentic AI where they create meaningful product value

Build automation for testing, deployment, monitoring and continuous improvement of models and AI capabilities

Apply MLOps/ModelOps and DevOps practices to make solutions reproducible, observable, maintainable and secure

Work closely with product teams, software engineers, and domain experts to turn customer problems into scalable product capabilities

Contribute to architecture and technology decisions across analytics, AI and data engineering

What we are looking for

You are an experienced engineer or applied scientist who enjoys working across disciplines rather than within a narrow specialization.

You typically bring 7-8+ years of relevant professional experience across data engineering, analytics, machine learning and production software environments.

You are self-driven and comfortable taking ownership of complex problems, proactively exploring solutions, and driving them from initial idea and experimentation through to production.

You also bring:

Strong experience with Python, SQL, and modern software engineering practices

Solid experience in data engineering, including 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 PoCs into production

Experience with cloud platforms, CI/CD, containers, and DevSecOps practices

Understanding of MLOps/ModelOps, including model evaluation, versioning, deployment, monitoring, and lifecycle management

Practical knowledge of modern LLM technologies, including embeddings, RAG, tool use, and AI agents

Good judgement about when to use traditional analytics/ML versus generative AI

The ability to work effectively across research, engineering, product, and domain disciplines

A relevant degree in computer science, mathematics, engineering or a related field is valuable, but equivalent practical experience matters just as much.

Please note that you must have the legal right to work in Norway.

About TGS Prediktor

TGS Prediktor develops software for asset management through PowerView and real-time industrial data through Data Gateway. Our mission is to empower industry and energy assets through data-driven insights.

We value continuous learning, innovation, customer success, and teamwork and we want our people to grow alongside the products and technologies they help create.

Director of Technology & CTO, Prediktor AS