AI/ML Software Solutions Lead

About
Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders, and communities to grow through differentiation, agility, and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark at a top company in an exciting & dynamic industry.

ROLE PROFILE:

• Leads the development and deployment of AI/ ML powered software solutions, ensuring scalability, reliability, and best practices in software engineering.

KEY RESPONSIBILITIES:

• Oversee the full development process, from initial design through deployment and maintenance.
• Architect and implement scalable, secure, and reliable AI/ ML powered software solutions that can handle increasing load and complexity.
• Promote coding standards, CI/CD workflows, and other software development best practices to deliver high-quality, maintainable code.
• Work closely with product managers, data scientists/AI Engineers, and other stakeholders to clarify requirements, set priorities, and align on deliverables.
• Define and maintain the engineering roadmap, balancing new feature development with technical debt and platform improvements.
• Establish and maintain clear, comprehensive technical documentation while driving best practices in engineering.

PROFESSIONAL EXPERIENCE/QUALIFICATION:

• 7-10 years of experience in software development and engineering complex applications.
• Experience developing and deploying AI/ ML powered solutions.
• Strong proficiency in Python and at least one other language (e.g., Golang, Rust, Java, etc.) and related frameworks.
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and container orchestration (Kubernetes, Docker).
• Strong foundation in algorithms, data structures, and system design.
• Deep understanding of modern software engineering practices (e.g., DevOps, CI/CD, microservices).
• Hands-on experience with data pipelines, ETL processes, data warehouses, and related tools (Spark, Airflow, etc.).
• Educational qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.