Senior Manager - AI Safety and Evaluation Engineering (AI)

Location: Abu Dhabi, United Arab Emirates. Flexible and remote working options may be available subject to eligibility and job requirements.

Company

hirify.global is a UAE banking organization focused on digital evolution, risk awareness, service quality, and customer experience.

What you will do

• Design, implement, and scale technical measures for the reliability, safety, security, and evaluation of predictive ML and Generative AI solutions.
• Define evaluation rubrics, scoring systems, and comprehensive benign and adversarial test cases for conversational AI, RAG systems, agents, and AI-enabled data access.
• Implement explainability techniques and bias-detection metrics for use cases such as lending and fraud.
• Embed evaluation, monitoring, testing, and explainability capabilities into MLOps and LLMOps platforms.
• Design observability telemetry pipelines, Golden Signals, and automated circuit-breakers while maintaining PII and data privacy standards.
• Act as a technical consultant for AI project teams and establish a unified safety stack and methodology across the AI portfolio.

Requirements

• At least 7 years of experience in ML Engineering, Data Science, or AI evaluation, testing, or safety, ideally in the financial sector.
• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related discipline.
• Expert Python proficiency and deep knowledge of statistical testing, XAI libraries, and LLM evaluation frameworks such as Ragas, Giskard, and Arize.
• Experience designing observability and monitoring systems at scale.
• Experience leading cross-functional initiatives or serving as a technical mentor or consultant.
• Awareness of AI Governance, AI Ethics, and Responsible AI principles.

Culture & Benefits

• Medical insurance, group life insurance, and personal accident insurance.
• Paid leave and leave airfare.
• Preferential rates on loans and finance facilities, plus staff discounts and offers.
• Children’s education assistance for certain job levels.
• Flexible working arrangements, subject to eligibility and job requirements.
• Instructor-led courses, e-learning, on-the-job training, and professional development programs.