Diverse Lynx
AWS Lead AI/ML Engineer
This job is now closed
Job Description
- Req#: 23-28413
- See Data & Client Engineer Specialization Requirements
- Work with our customers and focus on our AWS Analytics and Client 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
Job Description
Job Title: AWS Lead AI/Client Engineer
Location: Remote
Duration: Full Time Role
Job Description:
Critical Skills:
Client Ops, Glue, Redshift, EMR, Data Lake
Additional Experience:About the company
We provide Consulting Services for our customer’s project and staffing needs. We also provide Data Management for Clinical Trials.
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