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 at JPMorgan Chase within the Commercial and Investment Banking - Securities Services Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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 othersInvolves designing, developing, and deploying AI/ML solutions on AWS to solve complex business problems and drive innovation.Drives 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 respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceDesign and implement AI/ML models and algorithms to address business challenges and opportunities.Develop and deploy scalable machine learning solutions on AWS, utilizing services such as SageMaker, Lambda, EC2, and more.Proficiency in programming languages such as Enterprise Java, Python, along with experience in using machine learning frameworks like TensorFlow or PyTorch.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Optimize and fine-tune machine learning models for performance and scalability and ensure the security, reliability, and efficiency of AI/ML solutions deployed on AWS.Stay up-to-date with the latest advancements in AI/ML technologies and AWS services, and apply them to improve existing solutions.Mentor and guide junior team members, providing technical leadership and expertise.Conduct research and experiments to explore new AI/ML techniques and methodologies.Good Understanding of data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs.