Senior Lead Software Engineer - ML- Data Platform

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 & Investment Bank - Digital & Platform Services Team, 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



* Develops and implement a comprehensive strategy for the adoption and integration of Generative AI technologies within the Payments Data Platform.


* Designs and oversees the implementation of AI-driven solutions, including chatbots and agentic architectures, to enhance customer experience and operational efficiency.


* Provides leadership and mentorship to the existing team of ML Engineers, fostering a culture of innovation and continuous learning.


* Works closely with data engineers, software developers, and business stakeholders to ensure alignment of AI initiatives with business goals.


* Leads the development and deployment of machine learning models for analytics, reporting, and predictive insights, leveraging Databricks and other tools.


* Establishes and enforces best practices for ML model development, testing, and deployment, ensuring high-quality and reliable outputs.


* Keeps abreast of the latest advancements in AI and ML technologies and assess their potential impact on the organization.


* Collaborates with data engineering teams to optimize data pipelines and ensure efficient data processing for ML workloads.


* Assesses and recommends AI tools and technologies that can enhance the capabilities of the Payments Data Platform.


* Creates and implements training programs to upskill team members and promote the adoption of AI technologies across the organization.


* Regularly reports on the progress and impact of AI initiatives to senior management, providing insights and recommendations for future strategies.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Proven experience in designing, developing, and deploying machine learning models, with a strong understanding of both traditional ML and Generative AI techniques.


* Expertise in programming languages such as Python, Java, and experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.


* Familiarity with big data processing tools and platforms, such as Apache Flink and Databricks, for handling large-scale data analytics and ML workloads.


* Demonstrated ability to lead and mentor a team of engineers, fostering a...