Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Python AI/ML Software Engineer III at JPMorgan Chase within the Corporate Technology, 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 Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience with Python, Flask, Spacy and relevant libraries(e.g. TensorFlow, PyTorch, Keras) Experience in developing and deploying machine learning models in real-world application. In-depth knowledge of various machine leaning algorithms and techniques like SVM, Decision Trees. Solid understanding of data pre-processing feature engineering, and model evaluation. Proven experience in working with large datasets and distributed computing. Hands-on practical experience in system design, application development, testing, and operational stability 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 Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills Familiar with Databricks Familiar with natural language processing (NLP) and computer vision. Familiar with AWS Machine learning services such as Amazon Sagemaker, Amazon Bedrock. Deep learning architectures and frameworks like CNNs, DQNs. Knowledge of reinforcement learning concepts and application. Understanding of software development best practices and version control. Understanding of industry level validation and testing for LLMs