Freelance AI & Automation Engineer (ZZP)

Job description

We are looking for a hands-on, solution-oriented AI & Automation Engineer to lead the development and deployment of local, on-premise AI tools and automation solutions. This role will be responsible for identifying manual, repetitive tasks across the business and designing intelligent agents—integrated with RPA—to automate and optimize them. Cloud-based tools like ChatGPT are off-limits, so your focus will be on developing, fine-tuning, and deploying locally hosted AI models and scripts.

This is a unique opportunity to drive innovation from the ground up, directly impacting efficiency and scalability within our organization.

Responsibilities:

• Design and deploy on-premise AI tools (e.g., local LLMs, OCR, NLP, ML models) tailored to internal use cases.

• Develop scripts and intelligent agents that can work in tandem with RPA (Robotic Process Automation) platforms to:

  • Open and interact with software

  • Extract and process data

  • Automate workflows and decision trees

• Work closely with ICT, operations, and business units to identify and prioritize automation opportunities.

• Maintain, optimize, and ensure data privacy and security compliance of all AI systems.

• Stay up to date with open-source AI tools and trends that can be adapted for local deployment.

• Provide documentation, testing, and user training for internal tools developed.

• Troubleshoot issues and continuously improve performance of automation pipelines.

Must-Have:

• Strong experience in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers)

• Familiarity with local LLMs (e.g., LLaMA, Mistral, GPT4All, OpenAssistant, etc.)

• Experience with on-premise model deployment using GPUs or other compute infrastructure

• Working knowledge of RPA tools (e.g., UiPath, Power Automate, AutoHotKey, Robot Framework)

• Proficiency in data preprocessing, building AI pipelines, and API integrations

• Strong problem-solving skills and the ability to independently drive end-to-end solutions

Nice-to-Have:

• Experience with OCR, NLP, or document processing tools (e.g., Tesseract, spaCy, LangChain)

• Understanding of enterprise IT environments, data access, and security controls

• Familiarity with containerization (Docker), local server setup, or Linux environments