Applied AI ML Associate

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company.

As an Applied AI/ML Associate at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. 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.

Job responsibilities

• 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.

• Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. Y

• 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:

• 3+ 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