Senior ML Engineer - Scalable AI & Cloud Pipelines

Jobtailor; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor seeks an experienced ML Engineer to design and implement scalable ML architectures and applications. You will develop and review model code, build optimized data pipelines, and ensure production models run reliably at scale.

Applicants should have 4+ years in Python/Scala/Java, with 2+ years deploying ML solutions in AWS, Azure, or GCP. Collaboration with Product and Data Science teams is essential in this role.

Qualifications

• Bachelor's degree required; advanced degree preferred.
• 4+ years programming with Python/Scala/Java.
• 3+ years designing data-intensive distributed solutions.
• 2+ years productionizing, monitoring, and maintaining models.
• No immigration sponsorship for employment authorization.

Responsibilities

• Design ML architectures and implement applications.
• Develop and review model and application code.
• Ensure high availability and performance of ML apps.
• Build data pipelines feeding ML models.
• Retrain, monitor, and maintain production models.
• Collaborate with Product and Data Science teams on solutions.
• Apply CI/CD, test automation, and monitoring for ML software.

Skills

ML Architecture Design

Python Programming

Distributed Computing

Data Pipeline Development

Cloud ML Solutions

Education

Bachelor's Degree

Master's or PhD preferred

Tools

Scikit-learn

PyTorch

Dask

Spark

TensorFlow

AWS

Azure

Google Cloud Platform

Job description

Jobtailor seeks an experienced ML Engineer to design and implement scalable ML architectures and applications. You will develop and review model code, build optimized data pipelines, and ensure production models run reliably at scale.

Applicants should have 4+ years in Python/Scala/Java, with 2+ years deploying ML solutions in AWS, Azure, or GCP. Collaboration with Product and Data Science teams is essential in this role.