Job Description: At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects and engineers to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, Data and Analytics, HPC and more. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Job Responsibilities: Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Job Requirements: Basic understanding of machine learning fundamentals. Hands on experience working on large-scale data science/data analytics projects. Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field Ability to lead effectively across organizations. 5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations. Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Masters or PhD in Computer Science, Physics, Engineering or Math. Ability to take Machine Learning models and implement them as part of data pipeline 5+ years of IT platform implementation experience. Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza. Job Details: Company: Amazon Vacancy Type: Full Time Job Location: Birmingham, AL, US Application Deadline: N/A Apply Here getyourvacancy.com
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