AI Infrastructure Engineer

2 weeks ago

kolkata, India beBeeCloud Full time

Job OverviewWe are seeking an experienced and proactive AI/Agentic Tech Ops Engineer to ensure the reliability, scalability, and efficiency of AI and Agentic AI systems in production.This role requires a strong understanding of cloud platforms, infrastructure management, and automation tools. The ideal candidate will have experience with deployment and management of AI models and agentic systems, as well as implementing CI/CD pipelines for AI/ML and agentic applications.Key Responsibilities: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.Monitor performance, troubleshoot issues, and maintain runbooks.Automate deployments and maintenance using Python/Bash and IaC tools (Terraform, Ansible).Enforce security, compliance, and operational best practices.Requirements:Bachelor'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.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.What We Offer:A competitive salary package.Opportunities for professional growth and development.A collaborative and dynamic work environment.

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