Overview
The OSCE is seeking qualified candidates with expertise in artificial intelligence (AI), machine learning (ML), and deep learning (DL) to join a roster of experts. These experts will support Project CLEAR and related activities focused on preventing and countering violent extremism and radicalization that lead to terrorism (P/CVERLT) through the responsible and human rights-compliant use of AI.
Key Responsibilities
- Develop, update or tailor training materials, slides, practical examples, demonstrations, case studies and exercises on AI/ML/DL, generative AI, LLMs, model families, prompting and safe use of AI tools, tokens, embeddings, inference, quantization, hallucinations, local and open-weight models, closed environments, vector databases and retrieval-augmented generation (RAG).
- Explain AI/ML/DL concepts in clear, simple and audience-appropriate language.
- Support training participants in translating manual workflows and operational needs into AI/ML-relevant problem statements and in understanding the implications of possible AI-supported use cases.
- Design and facilitate practical demonstrations, group exercises and tabletop exercise inputs.
- Cover, as relevant, AI-assisted drafting and summarization, multilingual information processing, image and text analysis, local models and computing requirements, internal knowledge assistants, RAG, prompt injection and other AI security risks, model evaluation, operational validation and institutional readiness.
- Integrate responsible-use considerations throughout all materials and sessions.
- Advise the OSCE project team on the technical feasibility of planned hands-on elements.
- Co-operate with other experts, OSCE field operations, institutions and project partners.
- Prepare brief written inputs, training summaries, lessons learned, technical notes or recommendations following activities.
Required Experience
- A minimum of 7 years of relevant professional experience, preferably in the field of machine learning, deep learning, data science or related technical fields, including practical experience with AI/ML model development, deployment, testing or evaluation.
- Strong knowledge of machine learning and deep learning concepts.
- Practical experience with large language models, open-weight models, local deployment options, RAG, vector databases, prompt engineering, synthetic or demo data and AI security risks would be a strong asset.
- Knowledge of ethical and responsible AI, AI governance, human oversight, auditability, data protection, security safeguards and the rule of law, preferably in law enforcement, public-sector, justice, security, counter-terrorism, P/CVERLT or other sensitive operational contexts.
- Experience in designing and delivering trainings, workshops or capacity-building activities on AI/ML/DL for non-technical or mixed operational audiences.
- Experience with Python and common AI/ML libraries or tools such as scikit-learn, TensorFlow, PyTorch, Hugging Face, Ollama or similar tools would be an asset.
- Previous experience providing international capacity-building assistance, preferably with the OSCE, the United Nations or other international or regional organizations, would be an asset.
- Previous professional experience in the OSCE area, in particular Central Asia or South-Eastern Europe, would be an asset.
- Proven didactic skills and ability to use modern, inclusive and interactive training approaches.
- Digital literacy and proficient use of Microsoft Office and relevant AI/ML demonstration tools.
- Demonstrated gender awareness and sensitivity.
Qualifications
• Advanced university degree in computer science, data science, artificial intelligence, machine learning, applied mathematics, engineering or another relevant field; academic or teaching experience would be an asset.
