Senior ML Engineer — Scalable AI Systems (Python/AWS)

Jobtailor; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor in New York, NY is seeking a Senior ML Engineer to productionize ML applications, design scalable architectures, and build data pipelines feeding ML models. You will collaborate with Product and Data Science teams to deliver high-performance AI at scale.

The role emphasizes cloud platforms (AWS/Azure/GCP), CI/CD, and responsible AI practices, with opportunities to lead teams and influence ML tooling and processes.

Qualifications

• Bachelor’s degree required.
• 6+ years of experience designing and building data-intensive solutions.
• 4+ years of programming experience in Python, Scala, or Java.
• 2+ years of building, scaling, and optimizing ML systems.
• No sponsorship or immigration support.

Responsibilities

• Productionize ML applications and systems at scale.
• Participate in design, development, and implementation of ML applications.
• Focus on ML architectural design and review model and application code.
• Ensure high availability and performance of ML applications.
• Collaborate with Product and Data Science teams to deliver ML models and components.
• Leverage cloud platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines feeding ML models.
• Apply CI/CD, test automation, and monitoring for deployments.
• Manage code to govern models from a risk perspective and apply Responsible AI practices.

Skills

Distributed computing

Python/Scala/Java

ML systems design

CI/CD

Test automation

Data pipelines

Leadership

Agile teamwork

Education

Bachelor's degree

Master's or Doctoral degree

Tools

AWS

Azure

GCP

Scikit-learn

PyTorch

Dask

Spark

TensorFlow

Job description

Jobtailor in New York, NY is seeking a Senior ML Engineer to productionize ML applications, design scalable architectures, and build data pipelines feeding ML models. You will collaborate with Product and Data Science teams to deliver high-performance AI at scale.

The role emphasizes cloud platforms (AWS/Azure/GCP), CI/CD, and responsible AI practices, with opportunities to lead teams and influence ML tooling and processes.