Reliable AI System Engineer

2 days ago

guntur, India beBeeTechOps Full time

AI Tech Operations SpecialistWe are seeking a highly skilled AI Tech Operations Specialist to join our team. The successful candidate will be responsible for ensuring the reliability, scalability, and efficiency of AI systems in production.Key Responsibilities:Manage deployments, monitor performance, troubleshoot issues, and implement best practices for Tech Ops/MLOps/LLMOps.Deploy and manage AI models, agentic systems, and infrastructure across cloud (GCP, AWS, Azure) and on-prem.Implement CI/CD pipelines for AI/ML and agentic applications.Optimize cloud resources for cost and scalability.Build monitoring, logging, and alerting solutions for AI systems.Handle incident response, root cause analysis, and maintain runbooks.Automate deployments and maintenance using Python/Bash and IaC tools (Terraform, Ansible).Enforce security, compliance, and operational best practices.Required Skills and Qualifications:Bachelor's in CS, IT, Engineering, or related field.2–4+ years in Tech Ops, DevOps, SRE, or MLOps roles.Hands-on 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.Preferred Qualifications:Master's degree and cloud certifications.Experience in MLOps/LLMOps and AI/ML frameworks (TensorFlow, PyTorch).Familiarity with agentic AI concepts, vector databases, and data pipeline tools (Airflow, Kubeflow).Agile environment experience.

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