JP Morgan Chase - Lead - Applied Artificial Intelligent/Machine Learning (10-15 yrs)

Description:

Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms.

As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC.

Job Responsibilities:

- Collaborate with all of JPMorgan's lines of business and functions to delivery software solutions.

- Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.

- Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

Required qualifications, capabilities and skills:

- MS with 10+ years of experience or PhD with 7+ years of experience and a degree in Computer Science, Statistics, Mathematics or Machine learning related field.

- Solid programming skills with Java, Python or other equivalent languages.

- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.

- Expert 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, NoSQL DB.

- Strong analytical and critical thinking skills.

- Self-motivation, great communication skills and 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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. Visit our FAQs for more information about requesting an accommodation.

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