- Experience
- 6+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 3 days ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
Join a pioneering financial services institution in the UAE focused on creating a digital-first, AI-centered bank. This role provides a distinctive chance to influence the foundational technology, data architecture, and AI capabilities of a well-backed and ambitious venture. This opportunity suits individuals passionate about AI, machine learning, and delivering robust AI-powered solutions in live environments.
Key Responsibilities
- Design, develop, and deploy machine learning models, generative AI services, and AI-driven applications for production use.
- Implement agent-based workflows, orchestration systems, and AI services embedded within banking operations.
- Construct retrieval-augmented generation pipelines, vector search functionalities, and grounding mechanisms.
- Develop and uphold evaluation frameworks, behavioural regression testing, and monitoring processes for AI solutions.
- Collaborate with product and engineering groups to pinpoint and execute impactful AI applications.
- Adopt contemporary software engineering methodologies including continuous integration/delivery, testing, monitoring, and AI-enhanced development workflows.
Candidate Profile & Requirements
- At least six years of professional experience in building and deploying AI, machine learning, or generative AI projects in production environments.
- Demonstrated success delivering large language model, retrieval-augmented generation, or agentic AI applications beyond prototyping phases.
- Proficiency with cloud-based AI and machine learning platforms such as Databricks, Microsoft Azure, Amazon Web Services, and MLflow.
- Hands-on expertise in Python programming, Kubernetes orchestration, CI/CD pipeline development, and modern software engineering best practices.
- Skilled in establishing AI evaluation metrics, monitoring capabilities, and observability frameworks suitable for production systems.
- Experience working within banking, fintech, or other compliance-intensive sectors is considered a plus.
Skills
Tools & software
Kubernetes
required
Mlflow
required
Amazon Web Services AWS
required
Microsoft Azure
required
Databricks
required
Machine Learning
required