JP Morgan Recruitment 2020:
About Company
JP Morgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JP Morgan Chase is the largest bank in the United States, with a history 200 years, where we stand today. We operate in more than 60 countries and is the third largest bank in the world by total assets as of 2018, with assets of $2.623 trillion. It has number of employees 2,56,105 and Revenue of 10,902.9 crores USD.
Candidates who are freshers of 2020 passed outs looking to get software job to settle in software field, so they can choose JP Morgan company is one of the option to build future. Candidates are eligible of educational qualification can apply. It can give best salary. For more jobs you can regularly visit our site www.jobmela4u.com.
JP Morgan Recruitment 2020 For Freshers As Machine Learning Engineer | Bangalore
Company : JP Morgan
Job Designation : Machine Learning Engineer
Job Location : Bangalore
Salary : Best In Industry
Experience : Freshers
Education Qualification : BS/MS/Phd Degree
Job Description
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.
Minimum Qualifications:
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 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:
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.
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