Robotics Maintenance Technician
Exotec
RPA Developer – Data Scientist
Garanti BBVA International
full-time
Posted on:
Location: 🇳🇱 Netherlands
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudPythonRPASQL
About the role
- Lead development of advanced analytics, machine learning and intelligent automation initiatives.
- Build and manage Power Automate cloud flows, desktop flows (RPA), and IDP solutions using AI Builder or Azure Form Recognizer.
- Automate business workflows and document processing across Operations, Finance and Risk.
- Integrate GenAI services (e.g., ChatGPT Enterprise, Custom GPT, Azure OpenAI or Copilot Studio) into automation scenarios.
- Develop and maintain machine learning and GenAI-powered models for prediction, classification, document generation, and summarization use cases.
- Apply best practices in feature engineering, training, evaluation, and model retraining strategies.
- Explore and implement domain-specific applications of large language models (LLMs), including prompt engineering and fine-tuning.
- Collaborate with IT, Legal, DPO, and Compliance to establish the organization's AI governance framework.
- Define AI/ML policies, risk assessment procedures, and usage guidelines to ensure responsible and ethical AI deployment.
- Contribute to the design of a secure, scalable AI infrastructure, enabling both in-house model training and safe API-based GenAI usage.
- Support integration of AI tools into Microsoft ecosystem (e.g., Azure AI Services, Power Platform, M365 Copilot).
- Act as a subject matter expert and enabler for AI initiatives across departments.
- Maintain structured documentation for models, automation flows, and governance artifacts.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (Must have)
- At least 3+ years of experience in Automation, Data Science & Machine Learning (Must have)
- At least 3+ years of working experience in the banking domain, with familiarity in financial product data (Must have)
- Proven expertise in developing Power Automate flows (cloud, desktop) and IDP solutions using AI Builder or similar tools (must have)
- Practical experience in GenAI model usage and prompt engineering, ideally with LLMs such as OpenAI or Azure OpenAI
- Hands-on experience with ChatGPT Enterprise and the creation of Custom GPTs tailored to internal business use cases
- Strong programming skills in Python and SQL; experience with model development and automation scripting
- Familiarity with AI governance concepts and experience in defining policies, risk frameworks, or compliance documentation
- Experience with Microsoft Azure ecosystem (e.g., Azure ML, Azure OpenAI) is a plus
- Understanding of version control (Git), DevOps/MLOps pipelines, and secure software development practices
- Effective communication skills to work with business, compliance, and engineering teams
- Strong ethical mindset, analytical thinking, and willingness to drive responsible AI adoption