Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer - ML/Python at JPMorgan Chase within the Consumer and Community Banking division specifically in the MLIO team, your role will be pivotal in an agile team committed to enhancing, creating, and delivering high-quality technology products securely, stably and scalably. Your expertise and contributions are greatly appreciated and will have a significant impact on our business. Your deep technical understanding and problem-solving abilities will be called upon to tackle a variety of challenges across different technologies and applications. This position provides the opportunity to be part of a team that is spearheading innovation in the banking industry.
Job responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersAnticipate and consider risks when building machine learning solutions and prediction/classification systemsDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdds to the team culture of diversity, equity, inclusion, and respectRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) including Python, Scala and AWSAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) such as Machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps etc.Ability to tackle design and functionality problems independently with little to no oversightExperience conducting design and code reviewsExperience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldPreferred qualifications, capabilities, and skillsPublic cloud experienceExperience working with large unstructured and structured data sets