SENIOR GEN AI SPECIALIST📣 Job Ad

About the Role

Duncan & Ross Consulting is seeking a Senior GenAI Specialist to join their team in Al Khobar, Saudi Arabia. This position is central to the development and deployment of advanced AI solutions, focusing on the integration of Large Language Models (LLMs) and the optimization of production-ready pipelines. The role requires a combination of analytical skills, strategic thinking, and strong collaboration abilities to work effectively across various teams. The Specialist will contribute to designing and implementing data strategies aimed at business growth and operational optimization, fostering an environment of innovation.

Key Responsibilities

• Build and deploy next-generation AI-powered solutions, integrating LLMs and optimizing pipelines for production readiness.
• Develop and maintain the MCP model, context protocol, and agentic AI systems, with experience in building and maintaining microservices.
• Implement Generative AI solutions to generate synthetic data for training, significantly improving model accuracy for various use cases.
• Build and deploy machine learning models to detect and prevent financial crimes, aiming for a measurable reduction in fraud losses.
• Roll out scalable ML systems capable of processing millions of transactions daily, with a focus on reducing false positives in compliance alerts.
• Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, thereby reducing investigation times for compliance teams.
• Execute A/B testing on ML-driven compliance tools to achieve statistically significant improvements in operational efficiency.
• Optimize models and perform hyperparameter tuning to achieve high precision and recall in fraud detection and compliance applications.
• Write production-grade, PEP8-compliant Python code with a strong emphasis on readability, scalability, and maintainability.

Required Qualifications and Experience

• Proven track record and extensive experience with GenAI technologies.
• Hands-on experience with LLM techniques, including RAG, Agents, and Graph RAG.
• Experience with both open-source LLMs (*, Llama, Gemma, Mistral) and closed-source LLMs (*, OpenAI GPT, Azure OpenAI, Claude, Gemini).
• Proficiency in Prompt Engineering/Tuning, RAG, RAFT, and LLM fine-tuning techniques such as PEFT (LoRA, QLoRA).
• Proven expertise in Python, with a specialization in NLP and GenAI frameworks.
• Strong experience with Generative Models, including 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 platforms, API frameworks, and Docker is beneficial.
• Experience with databases like Qdrant and PostgreSQL is advantageous.
• Demonstrated analytical thinking and problem-solving abilities, with a proven capacity to dissect complex problems and provide actionable insights.
• A strategic mindset with experience in developing and executing long-term, adaptable strategies.
• Strong interpersonal skills, emphasizing listening, empathy, and the ability to translate complex data concepts into understandable terms for non-technical stakeholders.

Technical Skills

• GenAI
• LLMs (Large Language Models)
• RAG (Retrieval-Augmented Generation)
• Agents
• Graph RAG
• Open Source LLMs (Llama, Gemma, Mistral)
• Closed Source LLMs (OpenAI GPT, Azure OpenAI, Claude, Gemini)
• Prompt Engineering & Tuning
• RAFT
• LLM Fine-tuning (PEFT, LoRA, QLoRA)
• Python
• NLP (Natural Language Processing)
• Generative Models (GANs, VAEs, Transformers)
• NLP Algorithms (Intent Recognition, Entity Extraction, Language Modeling, Text Classification, Question Answering, Text Summarization, Topic Modeling)
• Cloud Platforms
• API Frameworks
• Docker
• Databases (Qdrant, PostgreSQL)

Work Environment and Details

This is a full-time position based in Al Khobar, Eastern Province, Saudi Arabia. The role operates within the Technology industry vertical. The company is Duncan & Ross Consulting. While specific experience level is not detailed in the original posting, the title "Senior" implies a need for substantial professional experience. Salary information is not disclosed.