Machine Learning Engineer

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

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 ofMachine Learning Engineer

Business: Data and Architecture Office, Data Analytics Office

Principal responsibilities

• Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain specific data.
• Experience with RAG(Retrieval Augmented Generation), Prompt Engineering concepts and fundamentals (Vector DBs).
• Experience with containerization and orchestration technologies (Kubernetes, Docker).
• In depth knowledge of machine learning, deep learning, and NLP. Manage prioritization and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM.
• Strong understanding of NLP techniques and framework such as BERT,GPT or Transformer models.
• Create and manage best practices for ML models integration, orchestration, and deployment, that will ensure secure including data versioning, ingress and model output egress, CI/CD pipelines for MLOps and LLMOps.
• Solid understanding of Machine learning concept and algorithm including supervised and unsupervised learning, model evaluation and deployment strategies in production environment.
• Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system.