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Detailed Job Description:

Total experience 10-12 years. Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies. Experience developing ML models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications. Proven experience in architecting ML based solutions on AWS Sagemaker. Deep understanding of AWS Services such as S3, ECS, EKS and EMR. 5+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service-oriented architecture. 3+ years’ experience in infrastructure and network architecture, DevOps, or software engineering. Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch. Experience with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Machine Learning, IoT, Amazon DynamoDB, Amazon S3 etc. 2+ years design/implementation/consulting experience building cloud solutions using AWS.

Experience required: 12 Years