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 Qualification 

BE/B. Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. 

Solid programming skills with Python/Java 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/Pytorch 

Knowledge of prompt engineering. 

Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic. 

Cloud Technologies: AWS/GCP/Azure, Kubernetes 

Strong analytical and critical thinking skills. 

Self-motivation, great communication skills and team player.