GDT Assistant Media Manager(MLOps/DevOps Engineer)
Core
Build and maintain CI/CD pipelines, containerize applications, and manage cloud/on-prem environments for a multi-agent media tool to ensure reliable deployment, monitoring, and scaling.
Role type
MLOps/DevOps Engineer
Builds
Multi-agent media tool infrastructure and deployment pipelines
Domain
Media technology, Cloud infrastructure, MLOps
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline management, Containerization (Docker/Kubernetes), Cloud platforms (AWS/Azure/GCP), Python scripting, Bash scripting, Monitoring and logging implementation, Security and data governance compliance
Preferred skills
Agentic frameworks (LangChain, AutoGen, CrewAI), Distributed systems, Event-driven architectures, Media or content-driven environment experience
Technologies
Docker, Kubernetes, AWS, Azure, GCP, GitHub Actions, Jenkins, ArgoCD, MLflow, Kubeflow, Weights & Biases, Prometheus, Grafana, ELK stack
Responsibilities
Build and maintain CI/CD pipelines for agent and ML model deployments, Containerize applications and manage cloud/on-prem environments, Implement monitoring, logging, and alerting for agent workflows, Optimize system performance and resource utilization, Ensure compliance with security and data governance policies, Collaborate with engineers and data scientists to streamline model deployment and retraining
Seniority
Mid-Senior (4-8 years experience)