JPMorganChase · 1 day ago
Applied AI ML Associate [Multiple Positions Available]
8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
Full-time
Onsite
Mid, Senior Level
3+ years expJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients. They are seeking an Applied AI ML Associate to collaborate across teams, design AI/ML solutions, develop production-grade models, and provide operational support.
Asset ManagementBankingFinancial Services
Responsibilities
Collaborate across technology, product owners, business partners, and teams to understand business needs, challenges, and expectations, partnering with them to discover and design the best solutions to address those needs
Research data to uncover business insights using analytical, statistical, and data science techniques
Leverage modern software engineering and data science expertise to design and build technical solutions that are innovative, secure, scalable, efficient, and aligned with the overall strategic architecture direction and best practices
Develop technical capabilities and integrations across applications and systems to ingest and engineer data, exposing strategic analytical capabilities for use by other systems or users
Monitor the production environment and provide ongoing operational support to ensure the solution is stable, meets business needs, and identifies opportunities for improvement
Design and develop production-grade Machine Learning models on large-scale datasets to address various business use cases, utilizing large-scale data processing frameworks for feature engineering across structured and unstructured data
Create AI/ML models and end-to-end ML pipelines to transform applications and business processes into AI systems, building models across public and private cloud platforms
Construct batch and real-time model prediction pipelines integrated with existing applications and front ends
Evaluate against baselines and extract statistical insights
Design unified models for multiple business use cases by fine-tuning Large Language Models, communicate AI model results to business and product teams, develop dashboards for presenting results, and mentor data scientists and engineers on AI/ML technologies and LLMs
Qualification
Required
Bachelor's degree in Information Science, Computer Science, Computer Information Systems, Computer Engineering, or related field of study plus 5 years of experience in the job offered or as Applied AI ML Associate, Data Scientist, Software Engineer, Machine Learning Engineer, or related occupation
Alternatively, a Master's degree in Information Science, Computer Science, Computer Information Systems, Computer Engineering, or related field of study plus 3 years of experience in the job offered or as Applied AI ML Associate, Data Scientist, Software Engineer, Machine Learning Engineer, or related occupation
Experience with developing software within a microservices architecture using Python and PySpark
Experience with deploying solutions as REST APIs with FastAPI
Experience with constructing scalable data pipelines utilizing scheduler and executor frameworks for data ingestion and transformation
Experience with implementing machine learning models using supervised techniques including Classification and Regression, unsupervised methods including Clustering and Association, and reinforcement learning approaches including Contextual Armed Bandits for financial applications such as risk assessment, fraud detection, and credit scoring
Experience with designing and deploying deep learning models including ANN, CNN, and RNN using TensorFlow, Keras, and PyTorch for predictive analytics and financial forecasting
Experience with applying statistical methods for data analysis, hypothesis testing, and model validation to extract insights from financial data
Experience with employing natural language processing techniques for text classification, named entity recognition, and chatbot development to enhance customer service and automate financial reporting
Experience with deploying and managing machine learning models in AWS cloud environments to ensure scalability and reliability
Experience with implementing MLOps practices for continuous integration, deployment, and monitoring of machine learning models to streamline operations and enhance model performance
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2026-01-23
2026-01-22
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