| MachineLearning at Remote, Remote, USA |
| Email: [email protected] |
| From: Boopathy, Smart IT Frame [email protected] Reply to: [email protected] Role: MachineLearning Client:CTS / Amex Location: Remote #Responsibilities: More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Amex Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide Not only creating ML model prototypes, but also putting them into production in scale Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow Be part of a dynamic team and play a visible role in implementing cutting-edge technology and machine learning solutions with other industry-leading partners Works with large, complex data sets to build products and tools that enhance colleague and customer experiences Implement highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions You will be part of a Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems You will work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem You will help craft the direction of machine learning and artificial intelligence at AmEx #Qualifications: Master in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or related fields. Strong analytical skills and programming skills, in production environment. 2+ years hands-on experience with the following technologies: SQL/ NoSQL Python Big Data TensorFlow, ScikitLearn, PyTorch etc. 2+ years of experience in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems -- Thanks & Regards Boopathy Rajan.S Smart IT Frame - An E- Verify Employer 220 Davidson Avenue Suite #313 Somerset NJ 08873 Direct:8484554525 [email protected]|www.smartitframe.com LinkedIn ID:linkedin.com/in/boopathy-rajan-s-14aba2244 |
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| Wed Nov 02 16:39:00 UTC 2022 |