Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking.

You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries.

Job Responsibilities

• Develop and maintain high-quality applications using Python.

• Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS.

• Design and deploy solutions with MLOps best practices.

• Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems.

• Mentor and guide junior team members, lead initiatives to promote best practices and automation.

• Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.

Required Qualifications, Capabilities and Skills

• Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts.

• Proven hands-on experience with Python and **Kubernetes **or ECS.

• Experience with cloud platforms such as AWS.

• Ability to work independently to understand and integrate with other systems within a bank.

• Excellent communication and collaboration skills.

Preferred Qualifications, Capabilities and Skills

• Practical understanding of MLOPS.

• Hands-on experience with Terraform.