AI/ML Jobs

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Data Scientist at JP Morgan Chase (Bengaluru, India)

As the next push into this investment, JPMC Silicon Valley is hiring the best talents to join the newly-formed AI engineering team. We are executing like a startup and building the next generation technology that combines JPMC unique data and full service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.

Collaborate with all of JPMorgans 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 analyses and insights to drive and optimize business result.
JPMorgan Chase (JPMC) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. It is on the transformation journey to be a client-centric technology driven company over the last few years. With an annual tech budget of $10B+, it has started significantly investing and building in the next generation core infrastructure, data and AI technology.

Minimum Qualifications
BS, MS or PhD degree in Computer Science or related quantitative field.
Solid programming skills with C/C++, Java, Python or other equivalent languages.
Deep knowledge in 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.
Major machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
Experience in ETL pipelines, both batch and real-time data processing.
Strong analytical and critical thinking skills.
Self-motivation, great communication skills and team player.

Preferred Qualifications
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.