Title: 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.

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