Applied AI ML Associate Sr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation. 
• Communicate complex issues clearly and credibly to senior management and stakeholders
• Oversee the analysis of complex datasets to inform decisions on real-world applications.
• Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products. 
• Supervise data analysis activities and ensure effective visualizations are provided.
• Ensure the writing and deployment of software code in production systems is efficient and meets standards.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• 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
• Master's degree in computer Science, Machine Learning or related field  with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience. 
• Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
• Solid understanding of core CS concepts, including common data structures and algorithms.

Preferred qualifications, capabilities, and skills

• Experienced in conducting design and code reviews.
• Proficient in cloud environments such as AWS, GCP, or Azure.
• Experienced in managing and deriving insights from large, both unstructured and structured datasets.