We have an exciting and rewarding opportunity for you to advance your AI-ML career. 

 

As an Applied AI ML Associate Senior at JPMorgan Chase within the Commercial & Investment Bank's - Global Banking team, you will be a key member of a Database team, responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.

 

Job Responsibilities

 

Deliver AI/ML projects through the ML development lifecycle using Agile methodologies, transforming business requirements into specifications, defining milestones, and ensuring timely delivery.Design, develop, and manage prompt-based models on Large Language Models (LLMs) to solve complex tasks in the financial services domain.Analyze and visualize large, diverse data sets to continuously improve software applications and systems.Conduct research on prompt engineering techniques to enhance model performance, utilizing LLM orchestration and agentic AI libraries.Collaborate with cross-functional teams to identify requirements and develop solutions that meet organizational needs.Communicate effectively with both technical and non-technical stakeholders.Build and maintain data pipelines and processing workflows for prompt engineering on LLMs, leveraging cloud services for scalability and efficiency.Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.Evaluate model performance through data analysis to identify areas for improvement.Identify hidden problems and patterns in data, using insights to enhance coding practices and system architecture.Contribute to software engineering communities, events exploring new technologies and Foster a team culture of diversity, equity, inclusion, and respect.

 

Required Qualifications, Capabilities, and Skills

 

Formal training or certification in AI/ML engineering concepts with 3+ years of applied experience.Proven experience as a hands-on practitioner developing production AI/ML solutions and Deep knowledge / experience in machine learning and artificial intelligence.Expertise in at least one of the following areas: Large Language Models, Natural Language Processing, Speech Recognition, Reinforcement Learning.Experience with RDBMS, NoSQL databases and prompt designStrong understanding of the Software Development Life Cycle, Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, pyG, Keras, MXNet, and Scikit-Learn.Strong programming skills in Python and Spark; proficiency in vector operations using NumPy and SciPy; expertise in distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars, etc.Experience in agentic AI libraries, workflows, and relevant frameworks, such as LangChain, LangGraph, Auto-GPT, etc.Experience in AWS Cloud services such as EMR, SageMaker, Glue, AthenaSQL, etc.Solid understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership clearly and concisely.

 

Preferred Qualifications, Capabilities, and Skills

 

Exposure to cloud technologies.8+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 2+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience.