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MLOps Engineer
EAEvlo AI
Summary by AIEngineer.careers
MLOps Engineer is a MLOps Engineer role (full-time). with Evlo AI. in BOSTON, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
BOSTON · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
The MLOps Engineer will design and implement scalable infrastructure for machine learning workflows. Responsibilities include building automated training and deployment pipelines, managing model serving endpoints, and configuring comprehensive monitoring and observability systems. This role focuses on ensuring reliable, efficient, and production-ready ML operations using modern DevOps practices.
Responsibilities
- Design and implement scalable MLOps infrastructure
- Build automated model training and deployment pipelines
- Manage model serving endpoints
- Configure monitoring and observability for ML systems
Requirements
- Experience with Kubernetes, Docker, and Terraform
- Proficiency in designing CI/CD pipelines for ML workloads
- Knowledge of model serving and ML system monitoring
Nice to Have
- Experience with major cloud providers (AWS, GCP, Azure)
- Familiarity with ML frameworks like PyTorch or TensorFlow
- Background in software or data engineering
Tech Stack
EA
Evlo AI
New York · US · 153+ employees
Evlo AI is an artificial intelligence company that facilitates the training of frontier AI models by connecting expert human talent with AI development firms. It offers a platform for experts to complete flexible, high-value tasks such as reviewing AI outputs, coding, research, and writing to help improve AI model reasoning, creativity, and real-world usefulness.
