Senior MLOps Engineer

Senior MLOps Engineer (Contract)

Conditions

Posted Date Mar 16, 2026 Employment Type Contract Experience Level Mid-Senior level Location Kuwait City Metropolitan Area Annual Salary 120 USD Category ** Devops ** Company **turingedge **

Senior MLOps Engineer (Contract)

We’re Hiring: Senior MLOps Engineer (Contract Role – 7 Months)We are looking for an experienced Senior MLOps Engineer to join a high-impact contract engagement. This role is ideal for senior professionals who have hands-on experience in building and managing production-grade ML infrastructure, deployment pipelines, monitoring systems, and scalable MLOps workflows. Experience Requirement

• Minimum 10+ years of total corporate experience is mandatory
• Stronger MLOps / ML platform / cloud infrastructure experience will be preferred
• Extensive experience in production ML systems, CI/CD, orchestration, and lifecycle management is a major advantage

Key Responsibilities

• Design and manage ML pipelines for training, validation, deployment, and monitoring
• Build scalable automation workflows for ML operations Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
• Implement CI/CD processes for machine learning systems
• Manage cloud and containerized environments for ML workloads
• Ensure reproducibility, governance, reliability, and observability across the ML lifecycle

Preferred Skills

• MLflow, Kubeflow, Docker, Kubernetes
• Azure ML / AWS SageMaker / GCP Vertex AI
• CI/CD, model versioning, monitoring, and production optimization
• Strong collaboration across ML, backend, cloud, and DevOps teams Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Opportunity Details

• Duration: 7 months
• Compensation: Approx. USD 100/day
• Accommodation: Provided by the client
• The role is expected to start remotely due to the current war situation
• Once conditions improve, relocation may be required based on client needs

If you are a senior MLOps professional with strong enterprise delivery experience, feel free to DM or share your profile.

• #Hiring #MLOps #MLOpsEngineer #AIInfrastructure #MachineLearning #Kubernetes #Docker #MLflow #AzureML #AWS #GCP #ContractJobs #TechHiring

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