Remote Senior MLOps Engineer: Scale Production-Grade AI

F5 Remote Jobs; United States; Remote; USD 107.000 - 142.000; Vollzeit

Zusammenfassung

Clariti Cloud Inc. is seeking a Senior MLOps Engineer to design and scale ML infrastructure powering CivCheck and Clariti’s AI capabilities. You will lead production-ready ML pipelines and collaborate with researchers and engineers to move models from research to production.

The role blends ML, software, and cloud engineering with a focus on reliability, observability, and performance at scale. Remote US-based position with strong emphasis on collaboration and governance.

Qualifikationen

• 6-10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure
• Solid experience working with Python, C, C++, Bash, etc
• Proven experience deploying and managing ML models in production
• Proficiency with Docker, and Kubernetes for scalable ML system design
• Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration
• Hands-on knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar) Familiarity with MLflow, Weights & Biases, Kubeflow, and other similar tools for experiment tracking and pipeline automation
• Solid understanding of data versioning, model reproducibility, and monitoring strategies
• Excellent problem-solving skills and a collaborative, team-oriented mindset

Aufgaben

• Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models and agentic AI workflows
• Build and optimize infrastructure for training and model serving across cloud providers and compute instances
• Develop tools for data pipelines, data labeling, experiment & performance tracking, and automated retraining
• Collaborate with AI researchers and ML engineers to productionize POCs and ensure model reproducibility and scalability
• Implement CI/CD best practices for ML systems, including continuous integration, automated testing, and deployment workflows
• Monitor and manage model health, performance, drift, and data quality in production
• Partner with Engineering teams to streamline infrastructure provisioning and data access
• Drive cost optimization and performance tuning for large-scale model training
• Contribute to internal documentation and best practices

Kenntnisse

Python

C/C++

Bash

Docker

Kubernetes

Cloud platforms (AWS/GCP/Azure)

CI/CD (GitHub Actions/Jenkins)

MLflow

Weights & Biases

Kubeflow

Data versioning

Tools

Terraform

CloudFormation

GitHub Actions

Jobbeschreibung

Clariti Cloud Inc. is seeking a Senior MLOps Engineer to design and scale ML infrastructure powering CivCheck and Clariti’s AI capabilities. You will lead production-ready ML pipelines and collaborate with researchers and engineers to move models from research to production.

The role blends ML, software, and cloud engineering with a focus on reliability, observability, and performance at scale. Remote US-based position with strong emphasis on collaboration and governance.