Job Description
- 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 (e.g., Medallion Architecture, Star Schema and Kimball).
- SQL (e.g., Oracle, SQL Server).
- ETL/ELT (e.g., Kestra/Airflow orchestration, DBT transformations).
- Data visualisation and dashboarding tools (e.g., PowerBI, Superset).
- 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.
- Prepare analysis and architecture deliverables concerning AI to contribute to Reference Architecture and AI Data Platform.
- 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.
- Experience with programming languages for data analytics and artificial intelligence (e.g., Python).
- Experience with industrialization and sizing of AI solutions using private cloud environments, containerisation (e.g., Kubernetes, ArgoCD) and CI/CD techniques (e.g., Bamboo, Git).
- Experience with MLOps tools, testing and quality assurance.
- Experience developing with reusable open-source large language models (e.g., Gemma 3) and Generative AI APIs (e.g., OpenAI).
Company Description
Arηs is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, business intelligence and infrastructure services.
We are composed of 13 entities across 6 countries that are unified by the Arηs Group, with more than 1750 consultants.
This corporate structure enables us to respond quickly to market changes and customer requests, and to communicate and make decisions without layers of bureaucracy.
Our success can be attributed to the synergy among our nine complementary entities, combined with our methodologies, which are based on the Rational Unified Process (RUP) and the Scrum agile software development framework.
Established in 2016, the Greek entity Arηs Developments Hellas aims to extend Arηs Group activities dedicated to the European market providing high-quality services in Software Development, covering the entire application development lifecycle: starting with user requirements, business process redesign and specifications, to continue with development, testing and application maintenance.
Job Description
- 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).
