Data & AI/ML Engineer: Build Scalable ML Pipelines

System; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Job summary

System is seeking a Data & AI/ML Engineer to design and maintain scalable data pipelines. The ideal candidate will have experience in data engineering and a strong proficiency in Python and SQL, as well as familiarity with cloud platforms like AWS, GCP, or Azure.

This role is focused on building infrastructure for ML models and requires 4+ years of relevant experience. A commitment to purpose-driven work, particularly in technology and healthcare, aligns well with our values at System.

Qualifications

• 4+ years of experience in data engineering, ML engineering, or a related discipline.
• Experience building and maintaining cloud data infrastructure.
• Understanding of ML lifecycle management and model versioning.

Responsibilities

• Design and maintain scalable data pipelines and ETL/ELT workflows.
• Build infrastructure for training and deploying ML models.
• Partner closely with Research and Data Science teams.

Skills

Python

SQL

Spark

dbt

Airflow

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

System is seeking a Data & AI/ML Engineer to design and maintain scalable data pipelines. The ideal candidate will have experience in data engineering and a strong proficiency in Python and SQL, as well as familiarity with cloud platforms like AWS, GCP, or Azure.

This role is focused on building infrastructure for ML models and requires 4+ years of relevant experience. A commitment to purpose-driven work, particularly in technology and healthcare, aligns well with our values at System.