Remote Software Engineer: ML Pipelines & Data Governance

ApplyMint; Cambridge (MA); On-site; USD 114,000 - 136,000; Full time

Job summary

Akamai Technologies, Inc. in Cambridge, MA is seeking a Software Engineer to design, develop, and maintain infrastructure for ML pipelines and CI/CD workflows. The role involves collaborating with data scientists and software teams to deliver scalable, well-governed data and model assets.

You will contribute to feature stores and model registries, write clean code, and document processes to support reliable, high-performance systems. Telecommuting is permitted from anywhere in the United States.

Qualifications

• Bachelor's degree or foreign equivalent in CS/Software/Engineering and 6 months of related experience.
• Experience with Spark, AWS, Airflow, Python, Scala, SQL, Hadoop MapReduce, Git, Jenkins.

Responsibilities

• Design, develop, and maintain infrastructure for ML pipelines and CI/CD practices.
• Analyze data to improve infrastructure performance and identify optimization opportunities.
• Collaborate with data scientists, ML engineers, and software developers to deliver integrated solutions.
• Develop and manage feature stores and model registries for data and model governance.
• Write clean, maintainable code and document technical processes for future reference.

Skills

Apache Spark

AWS

Apache Airflow

Python

Scala

SQL

Big Data

Hadoop MapReduce

Git

Jenkins

Education

Bachelor's degree or foreign equivalent in Computer Science or related field

Tools

Git

Jenkins

Apache Airflow

Job description

Akamai Technologies, Inc. in Cambridge, MA is seeking a Software Engineer to design, develop, and maintain infrastructure for ML pipelines and CI/CD workflows. The role involves collaborating with data scientists and software teams to deliver scalable, well-governed data and model assets.

You will contribute to feature stores and model registries, write clean code, and document processes to support reliable, high-performance systems. Telecommuting is permitted from anywhere in the United States.