Senior ML Ops Engineer
# Senior ML Ops Engineer **Dubai Insurance TPA** · Dubai · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role Job Summary We are seeking an experienced Senior MLOps Engineer to deploy, operate, and maintain machine learning, Generative AI, and agent-based solutions in production. The role will focus on building reliable deployment pipelines, monitoring AI services, managing releases, resolving incidents, and ensuring production systems remain secure, scalable, and cost-effective. Key Responsibilities - Build and maintain production-grade MLOps and CI/CD pipelines. - Deploy and manage machine learning models, APIs, AI agents, RAG workflows, and inference services. - Monitor system performance, model drift, data quality, response quality, security risks, and cloud costs. - Support incident investigation, root-cause analysis, remediation, and post-incident improvements. - Maintain technical documentation, runbooks, release checklists, and deployment templates. - Collaborate with AI, data, software, IT, security, and business teams. Requirements - 8+ years of relevant experience in MLOps, DevOps, platform engineering, data engineering, software engineering, or machine learning engineering. - Strong experience with Python, SQL, Git, Docker, Kubernetes, MLflow, Terraform, REST APIs, Linux, Microsoft Azure, Azure DevOps, Snowflake, FastAPI, Airflow, and Azure Data Factory. - Hands-on experience deploying and supporting containerised AI or machine learning services. - Knowledge of Generative AI, LLMOps, model registries, RAG workflows, vector stores, observability, and cloud security. - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related discipline. - Strong analytical, troubleshooting, documentation, and communication skills. Pay: AED35,000.00 - AED45,000.00 per month Work Location: In person
Наблюдалась 2026-10-07, впервые 2026-10-06, источник — Indeed.