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4+ years hands on experience in data engineering, Machine learning & software developmentStrong Analytical skill with exposure to NLP, Machine Learning & Deep learningExperience with Dataiku is an advantage; 3+ years experience in PySpark & Python programmingExperience with Banking domain is preferable with compliance background if further a plusExcellent in verbal and written communication, and presentation skills to engage various stakeholderStrong understanding of SDLC processes including all the project documentationsAbility to work under tight timelines and deliver solutions in a fast-paced environmentNice to Have Skills Working experience with technical backgroundExperience in international and multicultural environment
Required Skills: Proven project experience using Machine Learning framework - Tensorflow, Keras, Sciki-learn, MXNET etc
Responsibilities: Coordinating with multiple stakeholders in project throughout SDLC phaseConduct research and design of machine learning/deep learning models on banking transactional & demographic data;Understand end to end data & able to engineer all the possible features that can contribute to better model; Perform behavioral Analysis by combining all the data points; Understand existing ML Models and able to tweak for better results; Be Process-oriented adhere to CITI process + documentations throughout SDLC as per CITI standards;Be proactive & work independently and productively on any assigned task;Work closely & communicate effectively with our technology partners + other Stakeholders;
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