AI System Reliability Engineer

3 days ago

nagpur, India beBeeAi Full time

AI Tech Engineer Role OverviewWe are seeking a proactive AI Tech Engineer to ensure the reliability, scalability, and efficiency of AI systems in production. You will be responsible for managing deployments, monitoring performance, troubleshooting issues, and implementing best practices.Key ResponsibilitiesDeployment & Infrastructure:Deploy and manage AI models, agentic systems, and infrastructure across cloud platforms (GCP, AWS, Azure) and on-prem.Implement CI/CD pipelines for AI applications.Optimize cloud resources for cost and scalability.Monitoring & Incident Management:Build monitoring, logging, and alerting solutions for AI systems.Handle incident response, root cause analysis, and maintain runbooks.Automation & Operational Excellence:Automate deployments and maintenance using Python/Bash and IaC tools (Terraform, Ansible).Enforce security, compliance, and operational best practices.Collaboration & Documentation:Work with AI developers, data scientists, and architects for smooth production transitions.Maintain clear documentation and provide feedback on system performance.Required Skills and QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or related field.2–4+ years of experience in Tech Ops, DevOps, SRE, or MLOps roles.Hands-on experience with cloud platforms (GCP—Vertex AI, AWS, Azure).Proficient in Python/Bash scripting, CI/CD tools (Jenkins, GitLab CI, GitHub Actions).Experience with Docker, Kubernetes, monitoring tools (Prometheus, Grafana, ELK, Datadog).Knowledge of networking, security, and IaC principles.Strong troubleshooting and communication skills.

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