Job Description

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.

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specalist

In this role, you will:

• Design and deliver end-to-end Machine Learning solutions, from problem framing and data exploration through to production deployment and monitoring.
• Build LLM-powered applications using frameworks such as LangChain and/or LlamaIndex, aligned to real business use cases.
• Develop and optimise prompt engineering approaches to improve response quality, consistency, and reliability.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, Chroma, or Weaviate.
• Fine-tune and adapt pre-trained LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) on domain-specific datasets where required.
• Create robust NLP pipelines for tasks such as NER, text classification, sentiment analysis, information extraction, summarisation, and Q&A.
• Leverage the Hugging Face Transformers ecosystem to evaluate, customise, and productionise NLP/LLM models.
• Build and expose models and AI services via REST APIs using FastAPI and/or Flask, following secure and maintainable engineering practices.
• Collaborate with MLOps/DevOps to containerise and deploy solutions (e.g., Docker, CI/CD) and support production operations.
• Communicate insights and solution outcomes clearly to technical and non-technical stakeholders, using visualisations and crisp storytelling

To be successful, you will:

• Strong hands-on expertise in Python and the data science ecosystem (pandas, NumPy, scikit-learn).
• Proven experience delivering NLP solutions using libraries such as Hugging Face Transformers, spaCy, and/or NLTK.
• Practical experience implementing LLM use cases (prompting, RAG, evaluation), ideally with LangChain/LlamaIndex and LLM APIs.
• Solid understanding of ML fundamentals: feature engineering, model selection, hyperparameter tuning, cross-validation, and performance evaluation.
• Hands-on deep learning experience with PyTorch or TensorFlow.
• Experience working with structured and unstructured data, including strong SQL capability and familiarity with vector databases.
• Ability to validate and control LLM outputs using structured techniques (e.g., Pydantic, output parsers) and reduce hallucination risk.
• Strong stakeholder management and communication skills—able to explain complex concepts simply and drive delivery in a collaborative team setup.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

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.

Issued by – HSBC Software Development India