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Senior MLOps Engineer
Summary by AIEngineer.careers
Senior MLOps Engineer is a MLOps Engineer role (full-time). with Point Wild. in REMOTE, WORLDWIDE. Imported listing (source: emploive.com). Apply on the employer's site (emploive.com).
Imported listing (source: emploive.com) · Apply on emploive.com
REMOTE · WORLDWIDE
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Full-time
SENIOR
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 emploive.com
Point Wild is seeking a Senior MLOps Engineer to architect and maintain scalable ML infrastructure on Google Cloud Platform. This role focuses on bridging the gap between AI research and production by building robust deployment pipelines, monitoring systems, and serving frameworks for enterprise-grade AI models. You will collaborate with data engineers and researchers to operationalize complex machine learning workloads.
Responsibilities
- Architect and manage scalable GCP-based ML infrastructure using Vertex AI, GKE, and GPU/TPU instances.
- Own the end-to-end deployment lifecycle for ML models, including high-throughput inference services.
- Build automated CI/CD/CT pipelines for model training, testing, and deployment using Airflow and GitHub Actions.
- Implement production observability and monitoring for system health and ML-specific metrics like drift detection.
- Collaborate with Data Engineers to integrate model pipelines with feature stores and data processing workflows.
Requirements
- At least 5 years of hands-on experience designing and deploying production ML workloads in cloud environments.
- Deep practical experience with Google Cloud Platform (GCP), including Vertex AI, GKE, Cloud Run, and IAM/VPC.
Point Wild
Boston · US · 155+ employees
Point Wild is a cybersecurity and data-security company focused on breach resilience, response, remediation, privacy, and endpoint protection for consumers and enterprises. Its Lat61 platform uses agentic AI and large-scale threat data to support unified threat insights and protection.
