Sr Data & ML Engineer

3 min to read
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alumniex Author

In this role, you will work with AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker and more. You will help our customers to remove the constraints that prevent them from leveraging their data to develop business insights.

  • The 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
  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
  • 8+ years of experience of Data platform implementation
  • 3+ years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
  • Hands on experience with building data or machine learning pipeline
  • 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 experience with hands-on implementation

BASIC QUALIFICATIONS

● Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience

● 8+ years of experience of Data platform implementation

● 3+ years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations

● Hands on experience with building data or machine learning pipeline

● 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 experience with hands-on implementation

PREFERRED QUALIFICATIONS

● Masters or PhD in Computer Science, Physics, Engineering or Math.

● Familiar with Machine learning concepts

● Hands on experience working on large-scale data science/data analytics projects

● Hands-on experience with technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.

● Experience Implementing AWS services in a variety of distributed computing, enterprise environments.

● Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.

● Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.

● Experience defining system architectures and exploring technical feasibility trade-offs.

● 3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability.

● Ability to prototype and evaluate applications and interaction methodologies.

● Experience with AWS technology stack.

● Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Job Category: Engineering
Job Type: Full Time
Job Location: Remote

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