Applied AI ML Associate [Multiple Positions Available]

JPMorgan Chase & Co. • Plano, TX

2d • Onsite

About The Position

Duties: 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.
QUALIFICATIONS:
Minimum education and experience 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. The employer will alternatively accept 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.
Skills Required: This position requires experience with the following: Developing software within a microservices architecture using Python and PySpark, deploying solutions as REST APIs with FastAPI; Constructing scalable data pipelines utilizing scheduler and executor frameworks for data ingestion and transformation; 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; Designing and deploying deep learning models including ANN, CNN, and RNN using TensorFlow, Keras, and PyTorch for predictive analytics and financial forecasting; Applying statistical methods for data analysis, hypothesis testing, and model validation to extract insights from financial data; Employing natural language processing techniques for text classification, named entity recognition, and chatbot development to enhance customer service and automate financial reporting; Deploying and managing machine learning models in AWS cloud environments to ensure scalability and reliability; Implementing MLOps practices for continuous integration, deployment, and monitoring of machine learning models to streamline operations and enhance model performance.

Requirements

• 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. The employer will alternatively accept 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.
• Developing software within a microservices architecture using Python and PySpark, deploying solutions as REST APIs with FastAPI
• Constructing scalable data pipelines utilizing scheduler and executor frameworks for data ingestion and transformation
• 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
• Designing and deploying deep learning models including ANN, CNN, and RNN using TensorFlow, Keras, and PyTorch for predictive analytics and financial forecasting
• Applying statistical methods for data analysis, hypothesis testing, and model validation to extract insights from financial data
• Employing natural language processing techniques for text classification, named entity recognition, and chatbot development to enhance customer service and automate financial reporting
• Deploying and managing machine learning models in AWS cloud environments to ensure scalability and reliability
• Implementing MLOps practices for continuous integration, deployment, and monitoring of machine learning models to streamline operations and enhance model performance.

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.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level