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 of Machine 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.

• At least 8-10 years of experience in deploying end to end data science focused solutions. Should be strong technical background e.g. B.Tech /M.Tech from top tier institutes.
• Expertise in training and fine tune LLMs using popular framework such as (TensorFlow, PyTorch or hugging face transformer) and deployment tools (e.g. Docker, Kubeflow)
• Good exposure in Python and strong knowledge in SQL, Pandas or Pyspark.
• Good to have understanding knowledge on GitHub, Confluence and JIRA
• Cloud Platforms knowledge have to: Azure /GCP
• Experience of senior stakeholder management and strong communication/presentation skills
• Understanding of concepts and principles within ESG.
• Present technical solutions, capabilities, considerations, and features in business terms.

You’ll achieve more at HSBC

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

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