Data & AI Engineering - Experienced
$55,000–$55,000 year
On-siteNicosia, Nicosia, Cyprus
Job Summary
Design and develop enterprise-grade Data & AI solutions using the latest technologies, managing the Data Lifecycle through cleaning, transforming, and enriching complex data sets. Build and integrate impactful AI Agents with scalable, secure architecture while demonstrating deep understanding of AI risks including security and guardrails. Extract, clean, and analyze data from relational databases to derive insights, utilizing Python, SQL, and cloud AI services from platforms like MS Azure. Apply machine learning and predictive modelling techniques to transform data, supported by CI/CD integration and API testing. Join cross-functional Agile teams to deliver innovative products, requiring strong analytical skills and bilingual communication in Greek and English.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology or Data Science
- 3 years of experience working at enterprise level complex Data Environments with proven hands-on work on Data Transformation and Manipulation techniques
- Experience in using AI to process and transform data
- Required knowledge of: (i) Relational Databases, Data Modelling and SQL and ability to extract, clean and analyze data to derive valuable insights
- analytics techniques related to data mining, machine learning and predictive modelling
- cloud offered AI services from platforms like MS Azure
- Strong command of programming languages such as Python or R
- Familiarity with AI Evaluation Platforms such as DeepEval or similar
- CI/CD integration
- API Testing (e.g. Postman, Test Assured)
- Test automation frameworks (e.g. Selenium, Playwright, Cypress, Appium)
- Ability to work collaboratively in a team environment
- Ability to manage time, multiple tasks, and work under pressure
- Ability to take initiatives and make decisions
- Excellent verbal and written communication in both Greek & English
Desired Qualifications
- Master's degree in the above subjects
- Knowledge of Big Data technologies like Hadoop, MongoDB, Splunk or Elastic Search
- Use of data visualization and reporting tools like Business Objects, Power BI and SSRS
- Any relevant certifications
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