Data Scientist Lead

Key Skills

Apache Flink, Apache Kafka, AWS, AWS Kinesis, AWS Sagemaker, Java Programming, JavaScript, Machine learning techniques, NoSQL, Python Programming, Spark Core, Sqoop

Job Description

Role - AI/ML eningeer

Location - Remote (Anywhere in USA)

• Must have 2 AWS certification
• 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
• Bachelor’s 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

Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.