Applied AI ML Lead
Applied AI ML Lead
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Job Description
Join our fastpaced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects.
As an Applied AI ML Lead within the Corporate Oversight and Governance Technology team you willsolve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop test and evaluate AI/ML applications or models. Working with the firms rich data pool using Python/Spark via AWS you will derive business insights and present them to nontechnical audiences contributing to stronger business programs and improved efficiency.
Job Responsibilities
- Proactively develop understanding of key business problems and processes.
- Execute tasks throughout a model development process including data wrangling/analysis model training testing and selection.
- Implement optimization strategies to finetune generative models for specific NLP use cases ensuring highquality outputs in summarization and text generation.
- Conduct thorough evaluations of generative models (e.g. GPT4) iterate on model architectures and implement improvements to enhance overall performance in NLP applications.
- Implement monitoring mechanisms to track model performance in realtime and ensure model reliability.
- Communicate AI/ML/LLM/GenAI capabilities and results to both technical and nontechnical audiences.
- Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience.
- Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions.
- Carry out adhoc and periodic analysis as required by the business stakeholder model risk function and other groups.
Required Qualifications Capabilities and Skills
- Formal training or certification in applied AI/ML concepts and 5 years applied experience
- Proficiency in programming languages like Python for model development experimentation and integration with OpenAI API.
- Experience with machine learning frameworks libraries and APIs such as TensorFlow PyTorch Scikitlearn and OpenAI API.
- Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring.
- Solid understanding of fundamentals of statistics machine learning (e.g. classification regression time series deep learning reinforcement learning) and generative model architectures particularly GANs VAEs.
- Experience with a broad range of analytical toolkits such as SQL Spark ScikitLearn and XGBoost.
- Experience with graph analytics and neural networks (PyTorch).
- Excellent problemsolving communication (verbal and written) and teamwork skills.
Preferred Qualifications Capabilities and Skills
- Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring.
- Expertise in designing and implementing pipelines using RetrievalAugmented Generation (RAG).
- Familiarity with the financial services industry.
Employment Type
Full-Time
