We are seeking an experienced and visionary GenAI Specialist to work on building and deploying next-generation AI-powered solutions, integrating LLMs and optimizing pipelines for production readiness. This role requires a balance of analytical skills, strategic foresight, and an ability to collaborate effectively across diverse teams.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
The GenAI Specialist will be instrumental in designing and implementing data strategies that enhance business growth, optimize operations, and foster an inclusive environment of innovation. Key responsibilities include:
- Building the MCP model, context protocol, and agentic AI, as well as experience in building and maintaining microservices.
- Deploying machine learning models to detect and prevent financial crimes, achieving a measurable reduction in fraud losses.
- Implementing Generative AI solutions to generate synthetic data for training, significantly improving model accuracy for specific use cases.
- Rolling out scalable ML systems that process millions of transactions daily, reducing false positives in compliance alerts.
- Driving the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting investigation times for compliance teams.
- Executing A/B testing on ML-driven compliance tools, resulting in a statistically significant boost in operational efficiency.
- Expertise in model optimization and hyperparameter tuning to achieve high precision and recall in fraud detection and compliance applications.
Qualifications:
- Proven track record and experience with GenAI technologies.
- Hands-on experience with LLM techniques (e.g., RAG, Agents, Graph RAG).
- Experience with open-source LLMs (like Llama, Gemma, Mistral) and closed-source LLMs (such as Open AI GPT, Azure Open AI, Claude, Gemini).
- Expertise in prompt engineering/tuning and LLM fine-tuning techniques (e.g., PEFT like LoRA, QLoRA).
- Strong expertise in Python, especially in NLP and GenAI frameworks.
- Experience with Generative Models such as GANs, VAEs, and Transformers.
- Knowledge of NLP algorithms for tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, and topic modeling.
- Foundational knowledge of Cloud, API frameworks, and Docker is preferred.
- Familiarity with databases like Qdrant, PostgreSQL, etc. is a plus.
