Dieses Stellenangebot ist nicht mehr verfügbar
MLOps / AI Ops Engineer
DeWinter Group
- Campbell, California, United States
- Campbell, California, United States
Über
MLOps / AI Ops Engineer Job Type:
Contract Contract Length:
12 Months Pay Range:
$50/hr – $175/hr Start Date:
ASAP Location:
Remote About the Opportunity: Our client, a leader in AI testing and Generative AI solutions, is looking for a skilled MLOps / AI Ops Engineer to join their team for a 12-month engagement. This project involves building and automating end-to-end CI/CD pipelines for machine learning models and establishing production observability frameworks to ensure model reliability and scalability. This is a high-impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly. Key Responsibilities & Deliverables
Building and automating end-to-end CI/CD pipelines for machine learning models. Setting up observability and monitoring frameworks to track model accuracy, latency, and drift in real‑time. Managing model deployment strategies (canary, A/B testing) to ensure zero‑downtime updates. Automating the scaling of inference services based on incoming request volume. Establishing standard workflows for model governance and reproducibility. Required Skills & Experience
4+ years of experience in MLOps or DevOps with an ML focus. Deep expertise in MLflow, Kubeflow, and CI/CD tools (GitHub Actions, Jenkins). This isn't a learning role—you need to be a subject matter expert. Demonstrated ability to work autonomously and manage your own time effectively to meet project goals. Experience with Python, Kubernetes, and cloud‑native ML services. Strong communication skills to provide clear and concise status updates to the project team.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.