- Analysis development testing and delivery in production of proof of concepts pilots and projects for a variety of end-users using Artificial Intelligence (AI).
- Provide advice support and training for AI related activities for technical and non-technical users (Modelling Design Architecture Review AI projects Standards and processes Centre of Competence)
- Prepare analysis and architecture deliverables (eg: building blocks) concerning AI to contribute to Reference Architecture and AI Data Platform
Qualifications :
More than 4 years of experience in the following areas is required:
- Prompt engineering or related fields:
- Develop and refine prompts for AI models to achieve desired outcomes
- Test evaluate and iterate on prompt strategies.
- Analyse and report on model behaviour based on different prompt designs.
- Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way.
- Technical guidance and troubleshooting including solution finding for highly complicated issues.
- Programming languages for data analytics and artificial intelligence (eg: python)
- Industrialization and sizing of AI solutions using private cloud environments containerisation (eg: Kubernetes ArgoCD) and CI/CD techniques (eg: Bamboo Git ...).
- MLOps tools testing and quality assurance.
- Developing with reusable open-source large language models (eg: Gemma 3) and Generative AI APIs (eg: openai)
Additionally experience in the following areas will be an asset:
- Analysis and validation of business cases and/or maturity assessment studies.
- Analysis and validation of technological orientations and ability to cope with fast changing technologies.
- Analytical thinking by using logic and reasoning to identify patterns and gaps while analysing and exploring data to reach data-driven decision-making.
- Data modelling for data lakes and data warehouses (eg: Medallion Architecture Star Schema and Kimball)
- SQL (eg: Oracle SQL Server)
- ETL/ELT (eg: Kestra/Airflow orchestration DBT transformations)
- Data visualisation and dashboarding tools (eg: PowerBI Superset)
Remote Work :
No
Employment Type :
Full-time
Analysis development testing and delivery in production of proof of concepts pilots and projects for a variety of end-users using Artificial Intelligence (AI).Provide advice support and training for AI related activities for technical and non-technical users (Modelling Design Architecture Review AI ...
- Analysis development testing and delivery in production of proof of concepts pilots and projects for a variety of end-users using Artificial Intelligence (AI).
- Provide advice support and training for AI related activities for technical and non-technical users (Modelling Design Architecture Review AI projects Standards and processes Centre of Competence)
- Prepare analysis and architecture deliverables (eg: building blocks) concerning AI to contribute to Reference Architecture and AI Data Platform
Qualifications :
More than 4 years of experience in the following areas is required:
- Prompt engineering or related fields:
- Develop and refine prompts for AI models to achieve desired outcomes
- Test evaluate and iterate on prompt strategies.
- Analyse and report on model behaviour based on different prompt designs.
- Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way.
- Technical guidance and troubleshooting including solution finding for highly complicated issues.
- Programming languages for data analytics and artificial intelligence (eg: python)
- Industrialization and sizing of AI solutions using private cloud environments containerisation (eg: Kubernetes ArgoCD) and CI/CD techniques (eg: Bamboo Git ...).
- MLOps tools testing and quality assurance.
- Developing with reusable open-source large language models (eg: Gemma 3) and Generative AI APIs (eg: openai)
Additionally experience in the following areas will be an asset:
- Analysis and validation of business cases and/or maturity assessment studies.
- Analysis and validation of technological orientations and ability to cope with fast changing technologies.
- Analytical thinking by using logic and reasoning to identify patterns and gaps while analysing and exploring data to reach data-driven decision-making.
- Data modelling for data lakes and data warehouses (eg: Medallion Architecture Star Schema and Kimball)
- SQL (eg: Oracle SQL Server)
- ETL/ELT (eg: Kestra/Airflow orchestration DBT transformations)
- Data visualisation and dashboarding tools (eg: PowerBI Superset)
Remote Work :
No
Employment Type :
Full-time
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