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902 JPMorgan Chase & Co. Jobs
Applied AI ML Associate Senior Applied AI ML Associate Senior
3-8 years
₹ 5.4L/yr - 45L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
1 vacancy
Applied AI ML Associate Senior Applied AI ML Associate Senior
JPMorgan Chase & Co.
posted 3 weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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.
- 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
- Familiarity with model fine-tuning techniques such as DPO and RLHF.
- Knowledge of financial products and services including trading, investment and risk management
- 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.
- 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
- Familiarity with model fine-tuning techniques such as DPO and RLHF.
- Knowledge of financial products and services including trading, investment and risk management
Employment Type: Full Time, Permanent
Read full job description What people at JPMorgan Chase & Co. are saying
Rating based on 693 Associate
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Anonymous · IT & Information Security
in Bangalore / Bengaluru
Salary and work environment.
Hybrid mode, micro management
Associate salary at JPMorgan Chase & Co.
What JPMorgan Chase & Co. employees are saying about work life
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Employee Programs Wellness Programs Health Care and Insurance Plans Family Care Retirement Savings Programs 
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