Lead Software Engineer
3 weeks ago
Job Description
Join JPMorgan’s transformative journey as we invest in next-generation infrastructure, data, and AI technology. We’re seeking top talent for our AI engineering team to apply machine learning to our most critical customer products and deploy solutions with our engineering and technology partners. Candidates with a strong computer science background who are ready to take on end-to-end projects and apply computational optimizations daily will have the opportunity to make a significant impact in the financial services industry.
As a Lead Software Engineer—AI/ML Lead within the Digital Intelligence team at JPMorgan, you will collaborate with all business lines and functions to deliver software solutions. You will have the opportunity to experiment, develop, and produce high-quality machine learning models, services, and platforms to make a significant technology and business impact. This role provides an exciting opportunity to design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.
Job Responsibilities
Collaborate with all of JPMorgan’s lines of business and functions to deliver software solutions.
Experiment, develop, and produce high-quality machine learning models, services, and platforms to make a significant technology and business impact.
Design and implement highly scalable and reliable data processing pipelines and perform
analysis and insights to drive and optimize business results.
Required Qualifications, Capabilities, And Skills
BS, MS, or PhD degree in Computer Science, Statistics, Mathematics, or Machine learning-related field.
Solid programming skills with Java, Python, or other equivalent languages.
Deep knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
Expertise in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
Experience in ETL data pipelines, both batch and real-time data processing, Data warehousing, and NoSQL DB.
Strong analytical and critical thinking skills.
Self-motivation, excellent communication skills, and a team player.
Preferred Qualifications, Capabilities And Skills
Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
Experience in distributed system design and development
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal-opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
About The Team
Our Consumer & Community Banking division serves Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions—all while ranking first in customer satisfaction.
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