DescriptionAs an AI/ML Software Engineer at JPMorgan Chase within the Infrastructure Platform community you will serve as a seasoned member of an agile team focusing on designing developing and delivering trusted market-leading AI/ML technology products in a secure stable and scalable manner. You will play a key role in implementing critical AI/ML solutions across multiple technical areas supporting various business functions to achieve the firms business objectives and drive innovation in artificial intelligence and machine learning.
Job responsibilities
- Designs develops and deploys advanced AI/ML models and algorithms integrating them into production systems to solve complex business challenges.
- Executes software solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build innovative AI/ML solutions or break down technical problems.
- Creates secure and high-quality production code maintaining and optimizing machine learning algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex AI/ML applications ensuring design constraints are met by software code development.
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets to continuously improve AI/ML software applications and systems.
- Proactively identifies hidden problems and patterns in data using these insights to drive improvements to AI/ML model performance coding hygiene and system architecture.
- Collaborates with cross-functional teams to integrate AI/ML capabilities into business products and services ensuring alignment with business goals.
- Contributes to software engineering and AI/ML communities of practice and events that explore new and emerging technologies.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and applied experience.
- Hands-on practical experience in system design application development testing and operational stability with a focus on AI/ML solutions.
- Proficient in coding in one or more languages with strong experience in Python and PySpark for AI/ML model development and data analytics.
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle with experience deploying AI/ML models and pipelines.
- Experience in data engineering or related roles with strong hands-on experience with AWS cloud services (S3 EMR Lambda Glue etc.) for AI/ML workloads.
- Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn) and deploying models in production environments.
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security especially as they relate to AI/ML systems.
- Demonstrated passion and enthusiasm for advancing AI/ML solutions and staying current with industry trends and best practices.
Required Experience:
IC
DescriptionAs an AI/ML Software Engineer at JPMorgan Chase within the Infrastructure Platform community you will serve as a seasoned member of an agile team focusing on designing developing and delivering trusted market-leading AI/ML technology products in a secure stable and scalable manner. You wi...
DescriptionAs an AI/ML Software Engineer at JPMorgan Chase within the Infrastructure Platform community you will serve as a seasoned member of an agile team focusing on designing developing and delivering trusted market-leading AI/ML technology products in a secure stable and scalable manner. You will play a key role in implementing critical AI/ML solutions across multiple technical areas supporting various business functions to achieve the firms business objectives and drive innovation in artificial intelligence and machine learning.
Job responsibilities
- Designs develops and deploys advanced AI/ML models and algorithms integrating them into production systems to solve complex business challenges.
- Executes software solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build innovative AI/ML solutions or break down technical problems.
- Creates secure and high-quality production code maintaining and optimizing machine learning algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex AI/ML applications ensuring design constraints are met by software code development.
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets to continuously improve AI/ML software applications and systems.
- Proactively identifies hidden problems and patterns in data using these insights to drive improvements to AI/ML model performance coding hygiene and system architecture.
- Collaborates with cross-functional teams to integrate AI/ML capabilities into business products and services ensuring alignment with business goals.
- Contributes to software engineering and AI/ML communities of practice and events that explore new and emerging technologies.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and applied experience.
- Hands-on practical experience in system design application development testing and operational stability with a focus on AI/ML solutions.
- Proficient in coding in one or more languages with strong experience in Python and PySpark for AI/ML model development and data analytics.
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle with experience deploying AI/ML models and pipelines.
- Experience in data engineering or related roles with strong hands-on experience with AWS cloud services (S3 EMR Lambda Glue etc.) for AI/ML workloads.
- Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn) and deploying models in production environments.
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security especially as they relate to AI/ML systems.
- Demonstrated passion and enthusiasm for advancing AI/ML solutions and staying current with industry trends and best practices.
Required Experience:
IC
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