Machine Learning Engineering and Operations - Executive Director

Key Skills

Java Programming, Finance, Design, Python Programming, SQL, AWS, Big Data Technology, Apache Hadoop, Machine learning techniques, Natural Language Processing (NLP), Large scale data processing, Common data structures, MS Dynamics, Server architectures

Job Description

As a member of Machine learning Engineering, Implementation and Operations leadership team, we are looking for a technology leader who is passionate around business AI/ML problems and solutions through innovation and engineer practices. You will be required to apply your in-depth of technology knowledge and expertise to all aspects of software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers . Best yet, you will be joining a team of highly motivated and skilled software engineers who will help you to lay the foundations of a great career at JP Morgan Chase.

Roles & Responsibilities

• Hands on thought leadership for building on premise and cloud based ML solution architecture
• Have a solid understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models
• Deep Technical knowledge in architecting, designing, and Integrating new Solutions in a large-scale enterprise of highly distributed applications
• Design Enterprise Machine Learning platforms that are capable of running predictive models.
• Document Machine Learning processes and keep abreast of Developments in Machine Learning. Establish standards, guidance and best practices for ML Platform operations.
• Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability.
• Provides technical leadership, guidance and direction to other team members.
• Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders. Influence senior business and technology stakeholders across JPMC
• Solving complex problems with datasets and optimize existing ML libraries and frameworks
• Ability to build global teams to achieve organizational goals and passionate about building an innovative culture
• Partner with product owners to define firmwide technology strategies and roadmaps across JPMC
• Drive innovation and ensure that JPMC maximizes the business benefits of adoption of market leading technology capabilities; Ensure new innovations are rapidly evaluated, piloted and then scaled where appropriate, working closely with product owners

Qualifications

• Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) and 10-15 years of application development experience
• Experience in building application framework and/or platform development experience
• Deep knowledge in solution design patterns, building resilient solutions across on-premise application and cloud including associated security considerations
• Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
• Experience in automating, tuning and implementing ML Models. Working with Data structures and NLP models
• Experience of working with AWS cloud platform
• Experience defining application solution architectures and roadmap
• Ability to juggle multiple priorities and effectively deliver in a fast-paced, dynamic environment
• Comfortable working in an Agile and collaborative environment.
• Strong written and verbal skills.