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. Proven hands-on experience with as infrastructure-as-code tools such as
Terraform or equivalent. 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.
