Artificial Intelligence Engineer
Montrose SoftwareNorway19 hours ago
Full-timeEngineering, Information Technology
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Job Description
You will be working with the Head of Data and AI office on R&D and Product initiatives on every stage of an AI and Data lifecycle within our Montrose Software AI and Data framework. With Empowered Product Team principles you will assist defining MVPs tailored to the needs of clients, understand the data intimately to tell the right data stories, developing proof of concepts in notebooks, and productionizing the MVPs with the MLOps mindset. Beneficial experience includes data engineering within cloud-native architectures for executing data, AI, and enterprise systems at scale. Prior experience with AI and Lakehouse platforms is also advantageous.
Responsibilities
You will be working with the Head of Data and AI office on R&D and Product initiatives on every stage of an AI and Data lifecycle within our Montrose Software AI and Data framework. With Empowered Product Team principles you will assist defining MVPs tailored to the needs of clients, understand the data intimately to tell the right data stories, developing proof of concepts in notebooks, and productionizing the MVPs with the MLOps mindset. Beneficial experience includes data engineering within cloud-native architectures for executing data, AI, and enterprise systems at scale. Prior experience with AI and Lakehouse platforms is also advantageous.
Responsibilities
- Define and develop proof of concepts for Data and AI products and solutions
- Conduct market and technology research; architect optimal solutions to address business challenges
- Map AI/ML techniques to specific business problems
- Forecast operational AI costs for solutions at scale
- Support business intelligence reporting to guide Data solutions
- Develop end-to-end data products and solutions with an MLOps mindset within Montrose Software’s Data and AI framework
- Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data wealth and structure.
- 3+ years of experience delivering end-to-end Data and AI solutions and products
- Familiarity with machine learning mathematical toolboxes
- Proficiency in Python, pandas, NumPy, Matplotlib, scikit-learn, Transformers, PyTorch
- Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
- Understanding of cloud-native architectures and operations
- Proficiency with SQL and Jupyter notebooks
- Exposure to LLMs and agentic architectures
- Comfortable with data engineering
- Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
- Knowledge of DevOps and MLOps best practices
- Innovative, curious, outcome-focused mindset
- Collaborative mindset striving for win–win situations
- Strong analytical and systems thinking
- Very good spoken and written English
Key Skills
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