Chief AI Infrastructure Specialist

6 days ago

ghaziabad, India beBeeSystems Full time

AI Systems EngineerWe are seeking a skilled AI Systems Engineer to ensure the reliability, scalability, and efficiency of our AI systems.This role involves managing deployments, monitoring performance, troubleshooting issues, and implementing best practices for system operations. The ideal candidate will have experience with cloud platforms, CI/CD pipelines, and automation tools.The successful candidate will be responsible for:Deploying and managing AI models, agentic systems, and infrastructure across cloud and on-prem environments.Implementing CI/CD pipelines for AI applications.Optimizing cloud resources for cost and scalability.Monitoring and logging AI systems.Handling incident response and root cause analysis.Required Qualifications:Bachelor's degree in Computer Science, Information Technology, or related field.2–4+ years of experience in Tech Ops, DevOps, SRE, or MLOps roles.Hands-on experience with cloud platforms (GCP, AWS, Azure).Proficient in Python 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.Preferred Qualifications:Master's degree and cloud certifications.Experience in MLOps/LLMOps and AI frameworks (TensorFlow, PyTorch).Familiarity with agentic AI concepts, vector databases, and data pipeline tools (Airflow, Kubeflow).Agile environment experience.Benefits:Competitive salary and benefits package.Opportunities for professional growth and development.Collaborative and dynamic work environment.

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