Senior ML Engineer

Job Description


At Amazon Web Services (AWS), were 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.

In 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.

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.

In 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.

We are looking for individuals with extensive experience of design, development and operations; deep knowledge of and experience using services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, No

SQL technologies and other 3rd parties.

In this role you will develop and define key business questions and build ML data sets that answer those questions.

You will work with business customers in understanding the business requirements and implementing solutions.

This is a customer facing role and you will be required to travel to client locations and deliver professional services when needed.

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