MLOPS Engineer

XPath Solutions; Concord (NH); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology firm is seeking a Senior MLOps Engineer in Concord, New Hampshire. This role involves building, deploying, and operating production-grade ML systems, with a focus on automating the ML lifecycle and ensuring model reliability in an enterprise environment. The ideal candidate will have substantial experience in software engineering and MLOps, with strong skills in Java, Python, and cloud services like AWS and Azure. Competitive salary and benefits are offered.

Qualifications

• 10+ years in Software Engineering and 3+ years in MLOps / ML Operations.
• Strong hands-on experience with Java, Python, SQL.
• Delivery of 3–4 production ML projects.

Responsibilities

• Build and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, monitoring, and retraining.
• Implement CI/CD workflows for model versioning and lifecycle management.

Skills

Software Engineering

MLOps

Java

Python

SQL

Docker

Kubernetes

CI/CD

Communication

Tools

MLflow

Kubeflow

Vertex AI

Google Cloud Platform

AWS

Azure

Apache Airflow

Apache Spark

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

Concord, United States | Posted on 01/15/2026

Seeking a Senior MLOps Engineer to build, deploy, and operate production-grade ML systems. This role focuses on automating the ML lifecycle, enabling scalable cloud deployments, and ensuring model reliability, monitoring, and governance in an enterprise environment.

Key Responsibilities

• Build and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI
• Automate model training, testing, deployment, monitoring, and retraining
• Implement CI/CD workflows for model versioning and lifecycle management
• Deploy ML workloads on Google Cloud Platform, AWS, or Azure using Docker and Kubernetes
• Monitor model performance, drift, and compliance with model governance (MRM, explainability)
• Support low-latency inference APIs for real-time and batch scoring

Required Qualifications

• 10+ years in Software Engineering and 3+ years in MLOps / ML Operations
• Strong hands-on experience with Java, Python, SQL
• Experience with ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch)
• Hands-on delivery of 3–4 production ML projects
• Experience with Docker, Kubernetes, CI/CD pipelines
• Familiarity with Airflow, Spark, and ML Ops frameworks
• Strong communication and stakeholder management skills