Senior ML Engineer - Scale Production Models & Pipelines

Information Technology Senior Management Forum; New York (NY); On-site; USD 230,000 - 262,000; Full time

Job summary

Information Technology Senior Management Forum in New York, NY seeks a senior ML systems engineer to design, build, and scale production-grade ML models and platforms across modeling, data pipelines, and deployment practices.

You will collaborate with Product and Data Science, scale multi-tenant training/serving platforms, and apply CI/CD, cloud architectures (AWS/GCP/Azure), and Kubernetes for production-ready ML systems.

Qualifications

• Bachelor’s degree or higher in Computer Science, ML, or related quantitative field.
• At least 6 years of programming with Python, Java, Golang, or C++.
• At least 6 years of ML with PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• At least 6 years operating large-scale distributed systems (e.g., Spark, Ray).
• At least 4 years deploying and operating ML in production and cloud environments (AWS, GCP, Azure) using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science.
• Develop and scale large multi-tenant platforms for ML training and serving.
• Guide ML infrastructure decisions: model/feature selection, training, tuning, validation.
• Develop code for ML/model deployment and automated testing.
• Work in a cross-functional Agile team to support big data and ML apps.
• Retrain, maintain, and monitor ML models in production.
• Leverage cloud architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines for ML models.
• Apply CI/CD, test automation, and monitoring for ML deployments.
• Govern models for risk and apply Responsible AI practices.
• Use Python, Scala, or Java to implement ML/platform components.

Skills

ML modeling

Cloud computing

Distributed systems

Agile teamwork

Communication

Education

Bachelor's degree or higher in CS or related field

Tools

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Information Technology Senior Management Forum in New York, NY seeks a senior ML systems engineer to design, build, and scale production-grade ML models and platforms across modeling, data pipelines, and deployment practices.

You will collaborate with Product and Data Science, scale multi-tenant training/serving platforms, and apply CI/CD, cloud architectures (AWS/GCP/Azure), and Kubernetes for production-ready ML systems.