Software Engineer - ML Infra & Data Pipelines (Remote)

Akamai Career Site

United States

On-site

USD 114,000 - 136,000

Full time

7 days ago
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Benefits offered by this job

Healthcare
401K
PTO
ESPP

Job summary

Akamai Technologies, Inc. is hiring a Software Engineer in Cambridge, MA. You will design, develop, and maintain infrastructure for ML pipelines and CI/CD, ensuring scalable performance.

You will analyze data to identify improvements and collaborate with data scientists and engineers to achieve common goals. You will develop and manage feature stores and model registries to ensure data and model governance, write clean, maintainable code, and document technical processes for future reference.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical & Computer Engineering, Electrical/Electronics Engineering, Information Systems, Information Technology, or Telecommunications Engineering (required).
  • 6 months of experience in Apache Spark, AWS, Apache Airflow, Python, Scala, SQL, Big-Data, Hadoop MapReduce, Git, and Jenkins (required).

Responsibilities

  • Design, develop, and maintain infrastructure for ML pipelines and CI/CD.
  • Analyze and interpret data to ensure infrastructure performance and identify improvements.
  • Collaborate with data scientists, ML engineers, and software developers to achieve common goals.
  • Develop and manage feature stores and model registries for data and model governance.
  • Write clean, maintainable, and efficient code following best practices.
  • Document code and technical processes for future reference.

Skills

Apache Spark
AWS
Apache Airflow
Python
Scala
SQL
Big-Data
Hadoop MapReduce
Git
Jenkins

Education

Bachelor's degree

Job description

Akamai Technologies, Inc. is hiring a Software Engineer in Cambridge, MA. You will design, develop, and maintain infrastructure for ML pipelines and CI/CD, ensuring scalable performance.

You will analyze data to identify improvements and collaborate with data scientists and engineers to achieve common goals. You will develop and manage feature stores and model registries to ensure data and model governance, write clean, maintainable code, and document technical processes for future reference.

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