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Amazon.com Services Inc Data ML Engineer Nationwide Opportunities in Detroit, Michigan

brAt 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.brbrIn this role, you will work with our partners, customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker and more. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.brbrAWS 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.brbrIn our Global Specialist Practice, you will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers, and, most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.brbrThe ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties.brbrExcellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should be able to work with business customers in understanding the business requirements and implementing solutions.brbrThis is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.brbrbr* Bachelor's degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related fieldbr* 5+ years' experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations.br* Experience with analytic solutions applied to the Marketing or Risk needs of enterprisesbr* Basic understanding of machine learning fundamentals.br* Ability to take Machine Learning models and implement them as part of data pipelinebr* 5+ years of IT platform implementation experience.br* Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis ).br* Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).br* Current hands-on implementation experience requiredbrimg src='https://ad.doubleclick.net/ddm/clk/437411273;294035986;n?https://www.amazon.jobs/?cmpid=OAAAOT7345Butm\_source=circaworks.comutm\_campaign=cxroutm\_medium=niche\_siteutm\_content=job\_postingutm\_term=294035986ss=paid' width='1' height='1' /BR/Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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