Machine Learning /Senior Consultant Specialist

Some careers shine brighter than others.

If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 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 realise their ambitions.

Senior Consultant Specialist

• The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams.

In this role, you will:

• Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc. ) for training and deploying ML models.
• Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems.
• Monitor and maintain deployed models to ensure performance and accuracy over time.
• Research and implement state-of-the-art machine learning techniques and tools.
• Document processes, experiments, and results for reproducibility and knowledge sharing.
• Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities
• Develop & maintain ML models for Credit monitoring domain. E. g. Perpetual credit montiroing
• Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration
• Create products that provide a great user experience along with high performance, security, quality, and stability