MLOps / AI Ops Engineer

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 This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include: • 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: We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have: • 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.