Deliver simple and cost-effective ML/AI model building flows, maintaining quality and security at scale.Take ownership to build and manage cloud infrastructure for large scale data storage and processing tasksLead the design and implementation of core systems of AI platform to enable better data-driven decision-making process for our customers and business stakeholdersInfluence implementation strategies with better operational simplicityCollaborate with multiple teams to build data governance and compliance roadmapLead the development effort to secure enterprise data and applications on cloudMentor engineers within and across teamsWhat skills you possess:Minimum 8-10 years of experience in architecting software infrastructure, developing, and delivering software products/services with one or more core cloud provider services, preferably AWSStrong track record of building and managing enterprise cloud platform with focus on security, reliability, scalability and performanceSolid understanding of SaaS and PaaSProficiency in Big Data, Micro services, CI/CD, automation, containerization technologies, Kafka Streaming, Spark, GitHub, Jenkins etc2+ years of work experience building AI/ML stacks like TensorFlow, PyTorch, MXNet, AWS Deep Learning AMIs or other popular frameworksExcellent programming skills in Python, Scala/Java, C++ etcPast work experience with DevOps tools and technologiesStrong written and verbal communication skillsBS or MS in Computer Science/related technical field or equivalent combination of graduate degree and work experienceExcellent attention to detail and accuracy
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