Lead Software Engineer - Python Machine Learning

About the position

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platform (IP) Storage Product Line, you will lead the design, development, and implementation of innovative solutions, leveraging your deep expertise in Python programming and machine learning techniques. You will guide cross-functional teams to deliver secure, high-quality production code, adhering to industry standards and best practices. The ideal candidate will have substantial programming experience, advanced proficiency in Python, and a strong passion for applying machine learning algorithms to solve complex challenges.

Responsibilities

• Lead the application of machine learning algorithms and techniques to address complex problems, utilizing libraries such as TensorFlow, PyTorch, or scikit-learn.
• Oversee collaboration with cross-functional teams to gather requirements and design machine learning models and algorithms that fulfill customer needs.
• Ensure the creation of secure, high-quality production code, maintaining strict adherence to coding standards and best practices.
• Direct the gathering, analysis, and preprocessing of large, diverse datasets to train and evaluate machine learning models.
• Apply advanced feature engineering techniques to extract meaningful insights from data and enhance model performance.
• Manage the deployment and integration of machine learning models into production systems, considering the impact on upstream and downstream systems.
• Monitor and maintain deployed models, ensuring their optimal performance and reliability.
• Stay informed about the latest advancements in Python programming and machine learning techniques, and explore their potential applications within the organization.
• Mentor and guide junior engineers, fostering an environment of learning and growth.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Minimum of 7 years of experience in software engineering, with a focus on Python and machine learning.
• Extensive understanding of software engineering principles and best practices.
• Mastery in advanced Python programming concepts, including object-oriented programming, decorators, generators, and context managers.
• Proficiency in coding in Python, with a focus on machine learning libraries and frameworks.
• Significant experience in machine learning model development, including data preprocessing, feature engineering, model selection, training, and evaluation.
• Familiarity with agile methodologies and practices.
• Strong problem-solving and analytical skills.
• Excellent communication and leadership abilities.
• Ability to work effectively in a team environment and lead projects.
• Commitment to continuous learning and growth within the field of Python programming and machine learning.

Nice-to-haves

• Experience with AI/ML implementation in cloud platforms, such as AWS or Azure.
• Knowledge of AI/ML deployment techniques, including model serving, containerization, and cloud-based deployment.
• Experience in leading teams and managing projects in a fast-paced environment.