Senior ML Systems Engineer – Production & MLOps (AWS)

Ports North; Jersey City (NJ); On-site; USD 82,656 - 96,432; Full time

Job summary

Ports North seeks a Machine Learning Python Developer to lead end-to-end ML model development in Jersey City, NJ. The role focuses on deploying scalable models and building robust ML infrastructure for training, validation, and real-time inference.

You will mentor engineers, collaborate with data scientists, and drive MLOps practices, monitoring, and retraining strategies to ensure reliability. Contract-to-hire in a FinTech context.

Qualifications

• Bachelor's or master's degree in CS, Data Science, Engineering or related field.
• 10+ years of hands-on experience deploying ML models in production.
• Expert Python programming; exposure to Java/Scala; strong CS fundamentals.

Responsibilities

• Lead end-to-end design, development, and deployment of scalable ML models in production.
• Architect robust ML infrastructure and data pipelines for training, validation, and real-time inference.
• Set standards for code quality, model governance, and MLOps practices.

Skills

Python programming

Java

Scala

Data structures & algorithms

Distributed systems

Cloud platforms AWS

Docker & Kubernetes

Education

Bachelor's or master's in CS/Data Science/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

SageMaker

Vertex AI

AWS

Docker

Kubernetes

Job description

Ports North seeks a Machine Learning Python Developer to lead end-to-end ML model development in Jersey City, NJ. The role focuses on deploying scalable models and building robust ML infrastructure for training, validation, and real-time inference.

You will mentor engineers, collaborate with data scientists, and drive MLOps practices, monitoring, and retraining strategies to ensure reliability. Contract-to-hire in a FinTech context.