Chase · 2 days 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 expChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. They are seeking an Applied AI ML Associate to collaborate with various teams to design and implement machine learning models and solutions that address business needs and enhance operational efficiency.
BankingFinancial 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
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
Recent News
2026-01-24
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