Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence by harnessing cutting-edge technology
Job Summary
Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence by harnessing cutting-edge technology.
Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities, collaborating with business stakeholders to add value from data.
Lead and mentor engineering teams, foster a collaborative environment, and ensure projects align with the bank’s governance processes and ethical considerations.
Matching Summary
Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence by harnessing cutting-edge technology.
Skills & Requirements
Must-have
AI/ML concepts and architectures
Deploying ML models in production
AWS cloud services and infrastructure
Python or Java expertise
Software engineering best practices
Integrating AI systems into platforms
Data engineering pipelines and APIs
Nice-to-have
Autonomous agents or generative AI
LLMs, multi-agent systems, AI orchestration
Security and compliance for financial data
Cross-functional team collaboration
Forward-thinking AI innovation mindset
Model risk management and AI ethics
Key Requirements
Experience deploying machine learning models or AI services
Hands-on experience with AWS cloud services
Proficiency in Python or Java
Knowledge of software engineering best practices
Experience integrating AI systems
Proven experience leading and mentoring engineering teams
Ability to work closely with cross-functional teams