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AWS Lead AI OR ML Engineer at Remote, Remote, USA
Email: [email protected]
From:

Bharath,

Agile Enterprises solutions Inc

[email protected]

Reply to:   [email protected]

Position: AWS Lead AI/ML Engineer

Location - Remote 

Duration: Full Time

Critical Skills:

ML Ops, Glue, Redshift, EMR, Data Lake

Additional Experience:

See Data & ML Engineer Specialization Requirements

Work with our 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. Help our customers to remove the constraints that prevent them from leveraging their data to develop business insights

Engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about customer success

Create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams

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

Develop and define key business questions and to build data sets that answer those questions

Bachelors degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field

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

Basic understanding of machine learning fundamentals

Ability to take Machine Learning models and implement them as part of data pipeline

5+ years of IT platform implementation experience

Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)

Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)

Current hands-on implementation experience required

Thanks & Regards,

Bharath Theegala 

Ph: 972-440-2128

Agile Enterprise Solutions Inc.

7460 Warren Pkwy,Suite 100, Frisco, TX 75034.

Email:  [email protected]  Website: www.aesincus.com 

LinkedIn: linkedin.com/in/bharath-t-09183621a

Keywords: artificial intelligence machine learning information technology Texas
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Mon Feb 27 21:30:00 UTC 2023

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