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Role AWS solution architect Location FRANKLIN, MA Customer Name Nissan North America, Inc. Project Type(T&M/FP/True FP) FP Salary XXXX40K Any Visa Restrictions USC/GC/H1B USC/GC Only Mode Of Hiring FTE/Subcon FTE Remote (Y/N) Till COVID 19 restrictions Onsite from day 1 Mandate Skills Cloud solutions architect Years Of Experience 12 to 14 Yrs Detailed JD PFB Details JD: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - 1+ years of experience with one or more Deep Learning frameworks such as TensorFlow and PyTorch. - 3+ years’ experience with developing Machine learning solutions and architectures for Natural language processing domain. - 5+ years professional experience in software development in languages related to ML like Python or R. - Experience working with RESTful API and general service-oriented architectures. - 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices -5+ years of industry experience in predictive modeling and analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships - Consulting experience and track record of helping customers with their AI needs - Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences · - Experience with AWS technologies like SageMaker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR - Knowledge of Apache Spark - Able to write production level code, which is well-written and explainable - Experience using ML libraries, such as scikit-learn, caret, mlr, mllib - Experience working with GPUs to develop models - Experience handling terabyte size datasets - Track record of diving into data to discover hidden patterns - Familiarity with using data visualization tools · Knowledge and experience of writing and tuning SQL
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