Senior Associate Global Markets

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Some careers shine brighter than others.

If youre 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 Associate - Global Markets

In this role you will:

Design and Develop LLMs: Build train and fine-tune LLMs and generative AI models for real-world applications focusing on tasks such as document understanding information extraction question answering and multimodal representation learning.
State-of-the-Art Research: Stay at the forefront of AI advancements particularly in NLP multimodal learning and generative AI. Research and implement novel techniques to improve model performance and scalability.
Model Deployment: Collaborate with engineering teams to deploy models into production environments ensuring seamless integration with existing systems and processes.
MLOps Practices: Contribute to the development of MLOps toolkits to streamline the machine learning lifecycle from model training to monitoring and maintenance. Define Validation Metrics: Develop robust metrics and frameworks to evaluate model accuracy reliability and robustness particularly for LLMs.
Conduct Validation Assessments: Perform rigorous testing including regression analysis unit testing and performance benchmarking to ensure models meet business and regulatory standards.
Explore and Establish LLMs as Judges: Develop and implement methodologies for using LLMs as evaluators to assess the quality and accuracy of other AI models particularly in tasks like natural language processing and document understanding.
Documentation & Reporting: Maintain detailed documentation of model development validation processes and performance metrics to support AI governance and regulatory filings.
Collaborate with Governance Teams: Work closely with internal compliance and governance teams to ensure models adhere to organizational policies and regulatory requirements.

To be successful you will:

Bachelors Masters or Doctorate degree in Machine Learning Natural Language Processing (NLP) Computer Science Data Science Statistics or a related field. Hands-on Experience with LLMs: Strong expertise in developing fine-tuning and deploying LLMs and generative AI models.
Programming Skills: Proficiency in Python with experience in libraries such as PyTorch TensorFlow Hugging Face Transformers and tools like LangChain or LlamaIndex.
NLP & Multimodal Learning: Deep understanding of NLP techniques multimodal representation learning and document intelligence (e.g. document classification information extraction layout analysis).
Validation & Testing: Familiarity with unit testing frameworks performance testing tools and statistical methods for model evaluation.
MLOps Knowledge: Understanding of machine learning lifecycle management model monitoring and deployment pipelines.
Proven experience in both developing and validating AI/ML models particularly in the context of LLMs. Experience with document understanding generative AI or multimodal models is a plus.
Ability to work independently and collaboratively in a fast-paced global environment. Proven experience in both developing and validating AI/ML models particularly in the context of LLMs.
Experience with document understanding generative AI or multimodal models is a plus. Ability to work independently and collaboratively in a fast-paced global environment.
Partner with data scientists engineers and business stakeholders to align model development with business objectives. Collaborate with testing engineers to design and execute test cases ensuring model accuracy and reliability. Provide technical guidance and insights to non-technical stakeholders to facilitate informed decision-making.

Youll achieve more at 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 Electronic Data Processing (India) Private LTD***

Required Experience:

Senior IC

Some careers shine brighter than others.If youre 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 tak...

Some careers shine brighter than others.

We are currently seeking an experienced professional to join our team in the role of Senior Associate - Global Markets

In this role you will:

Design and Develop LLMs: Build train and fine-tune LLMs and generative AI models for real-world applications focusing on tasks such as document understanding information extraction question answering and multimodal representation learning.
State-of-the-Art Research: Stay at the forefront of AI advancements particularly in NLP multimodal learning and generative AI. Research and implement novel techniques to improve model performance and scalability.
Model Deployment: Collaborate with engineering teams to deploy models into production environments ensuring seamless integration with existing systems and processes.
MLOps Practices: Contribute to the development of MLOps toolkits to streamline the machine learning lifecycle from model training to monitoring and maintenance. Define Validation Metrics: Develop robust metrics and frameworks to evaluate model accuracy reliability and robustness particularly for LLMs.
Conduct Validation Assessments: Perform rigorous testing including regression analysis unit testing and performance benchmarking to ensure models meet business and regulatory standards.
Explore and Establish LLMs as Judges: Develop and implement methodologies for using LLMs as evaluators to assess the quality and accuracy of other AI models particularly in tasks like natural language processing and document understanding.
Documentation & Reporting: Maintain detailed documentation of model development validation processes and performance metrics to support AI governance and regulatory filings.
Collaborate with Governance Teams: Work closely with internal compliance and governance teams to ensure models adhere to organizational policies and regulatory requirements.

To be successful you will:

Bachelors Masters or Doctorate degree in Machine Learning Natural Language Processing (NLP) Computer Science Data Science Statistics or a related field. Hands-on Experience with LLMs: Strong expertise in developing fine-tuning and deploying LLMs and generative AI models.
Programming Skills: Proficiency in Python with experience in libraries such as PyTorch TensorFlow Hugging Face Transformers and tools like LangChain or LlamaIndex.
NLP & Multimodal Learning: Deep understanding of NLP techniques multimodal representation learning and document intelligence (e.g. document classification information extraction layout analysis).
Validation & Testing: Familiarity with unit testing frameworks performance testing tools and statistical methods for model evaluation.
MLOps Knowledge: Understanding of machine learning lifecycle management model monitoring and deployment pipelines.
Proven experience in both developing and validating AI/ML models particularly in the context of LLMs. Experience with document understanding generative AI or multimodal models is a plus.
Ability to work independently and collaboratively in a fast-paced global environment. Proven experience in both developing and validating AI/ML models particularly in the context of LLMs.
Experience with document understanding generative AI or multimodal models is a plus. Ability to work independently and collaboratively in a fast-paced global environment.
Partner with data scientists engineers and business stakeholders to align model development with business objectives. Collaborate with testing engineers to design and execute test cases ensuring model accuracy and reliability. Provide technical guidance and insights to non-technical stakeholders to facilitate informed decision-making.

Youll achieve more at HSBC

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 Electronic Data Processing (India) Private LTD***

Required Experience:

Senior IC

Key Skills

Business Development
Organizational Management
GAAP
Accounting
Analysis Skills
Meeting Facilitation
Microsoft Powerpoint
Investment Banking
Microsoft Excel
Private equity
Financial Modeling
Writing Skills

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About Company

HSBC

HSBC Holdings plc is a British multinational investment bank and financial services holding company. It was the 7th largest bank in the world by 2018, and the largest in Europe, with total assets of US$2.558 trillion.

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