Job
Description
Some careers have more impact than others. If you re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Director, Common AI Capabilities Engineering Department: Emerging Technology Location: This role can be based in Guangzhou, China or Pune, India. The Opportunity: In this fantastic new role, you will join a growing team to lead an experienced group of engineers in designing, developing, and maintaining key capabilities supporting our Group AI offering (e.g., Speech transcription, translation, knowledge management) for scaled consumption across our Group Businesses and Functions. Within the Group Emerging Technology, Innovation and Ventures (ETIV) team, this is a critical role to ensure a best-in-class AI platform is built to scale AI across the bank and improve the time to market for AI use case delivery. What you ll do: Applying quality software engineering practices throughout the software development lifecycle. Managing and supporting a global team of ML Software engineers. Engaging with firm-wide AI/ML teams to shape future roadmaps that align with Group objectives. Building and operating highly sophisticated machine learning infrastructure. Integrating AI capabilities into our Group AI Platform which spans cloud and on-premise infrastructure across AWS, GCP, Azure, and Ali environments. Requirements What you will need to succeed in the role: Technical: Software and ML engineering APIs and microservices design and build Cloud platforms such as AWS, GCP, Azure, and Ali Containerization technologies (Docker, Kubernetes, OpenShift) CI/CD tools (Jenkins, GitHub Actions) Data science tools (e.g. PyTorch, Jax, Numpy) Programming languages such as C++ and Python Agile Methodology Behavioral Skills: Team Management Engagement Ethical Outcome Orientated Cognitive Skills: Logic and reasoning Collaboration Quantitative Selective attention
