HSBC Group

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

Department: Wealth & Personal Banking

In this role, you will:

• Design, develop, and fine-tune Generative AI models (e.g., GPT, BERT, Stable Diffusion, etc.) for various use cases such as text generation, summarization, image generation, and more.

• Build and deploy scalable AI/ML pipelines using Python and frameworks like TensorFlow, PyTorch, or Hugging Face.

• Integrate Generative AI models into production systems and APIs for real-time or batch processing.

• Collaborate with cross-functional teams to identify AI use cases and deliver end-to-end solutions.

• Optimize model performance, reduce latency, and ensure scalability for production environments.

• Conduct research and stay updated on the latest advancements in Generative AI and machine learning.

• Work with large datasets, preprocess data, and ensure data quality for training and evaluation.

• Implement monitoring and logging for deployed AI models to ensure reliability and performance.

• Write clean, maintainable, and well-documented Python code for AI/ML projects.

To be successful in this role, you should meet the following requirements:

• Experience with fine-tuning and deploying Large Language Models (LLMs) like OpenAI GPT, Google T5, or similar.

• Knowledge of Natural Language Processing (NLP) techniques such as tokenization, embeddings, and transformers.

• Familiarity with MLOps tools and practices for model deployment, monitoring, and lifecycle management.

• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.

• Understanding of ethical AI practices and bias mitigation in Generative AI models.

• Experience in AWS / Cloud Technologies

• Experience with banking systems

• Familiarity with AGILE and Scaled AGILE methodologies

• Strong proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face

• Hands-on experience with Generative AI models like GPT, BERT, DALL-E, or Stable Diffusion.

• Solid understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning

• Experience with data preprocessing, feature engineering, and working with large datasets.

• Experience in building and deploying RESTful APIs or microservices for AI/ML models.

• Strong analytical and problem-solving skills with the ability to debug and optimize AI models.

• Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.

Candidate User Guide: India HTC - IND HSDI : IJP candidate user guide (service-now.com)

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is 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. 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