We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.
We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation.
This in turn helps us to provide better support to our broad client base. ROLES and RESPONSIBILITIES The candidate will be responsible for building Deep learning model for vision and NLP and will be responsible for converting blue sky ideas into implementation.
Should be able to create solutions and try various algorithms to solve the problem. Use NLP,Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design BASIC QUALIFICATIONS Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C / C Problem solver - able to work independently, and be comfortable with deadlines and milestones Deep understanding of ML techniques such as classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Strong communication skills and an easy going attitude Proven ability to apply, debug, and develop machine learning models for real-world applications Previous industry work experience required Apply now to join the Bank for those with big career ambitions.
To view information on our benefits including our flexible working please visit our career pages. We welcome conversations on flexible working.