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Applied AI ML Associate Senior Applied AI ML Associate Senior

Applied AI ML Associate Senior Applied AI ML Associate Senior

JPMorgan Chase Bank

3 - 8 years

20 - 25 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Wealth management financial products Machine learning Data collection Agile Data processing Risk management Analytics Financial services Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Applied AI/ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

Efficiently design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
Thoroughly conduct research on prompt engineering techniques to enhance the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
Collaboratively work with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
Effectively communicate with both technical and non-technical stakeholders.
Skillfully build and maintain data pipelines and data processing workflows for prompt engineering on LLMs, utilizing cloud services for scalability and efficiency.
Diligently develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
Carefully analyze and interpret data to evaluate model performance and identify areas for improvement.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Experience with prompt design and implementation or chatbot application.
Strong programming skills in Python with experience in PyTorch or TensorFlow
Experience building data pipelines for both structured and unstructured data processing.
Experience in developing APIs and integrating NLP or LLM models into software applications
Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Basic knowledge of deployment processes, including experience with GIT and version control systems
Familiarity with LLM orchestration and agentic AI libraries
Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

Familiarity with model fine-tuning techniques such as DPO and RLHF.
Knowledge of financial products and services including trading, investment and risk management

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

Job responsibilities

Efficiently design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
Thoroughly conduct research on prompt engineering techniques to enhance the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
Collaboratively work with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
Effectively communicate with both technical and non-technical stakeholders.
Skillfully build and maintain data pipelines and data processing workflows for prompt engineering on LLMs, utilizing cloud services for scalability and efficiency.
Diligently develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
Carefully analyze and interpret data to evaluate model performance and identify areas for improvement.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Experience with prompt design and implementation or chatbot application.
Strong programming skills in Python with experience in PyTorch or TensorFlow
Experience building data pipelines for both structured and unstructured data processing.
Experience in developing APIs and integrating NLP or LLM models into software applications
Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Basic knowledge of deployment processes, including experience with GIT and version control systems
Familiarity with LLM orchestration and agentic AI libraries
Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

Familiarity with model fine-tuning techniques such as DPO and RLHF.
Knowledge of financial products and services including trading, investment and risk management

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Applied AI ML Associate Senior Applied AI ML Associate Senior