Tech Operations Specialist: AI Systems

1 week ago

thiruvananthapuram, India beBeeAgenticAI Full time

Job TitleAn Agentic & AI Tech Ops Engineer is sought after to ensure reliability, scalability and efficiency of AI systems in production.About the Job:We are looking for an experienced engineer to manage deployments, monitor performance, troubleshoot issues and implement best practices for Tech Ops/MLOps/LLMOps.This role will play a key part in ensuring our AI systems operate smoothly and efficiently.The ideal candidate will have experience with cloud platforms (GCP, AWS, Azure) and proficiency in Python/Bash scripting, CI/CD tools (Jenkins, GitLab CI, GitHub Actions).The candidate should also have knowledge of networking, security and IaC principles.Key ResponsibilitiesDeployment & Infrastructure:Deploy and manage AI models and infrastructure across cloud and on-prem.Implement CI/CD pipelines for AI/ML 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 QualificationsBachelor's degree in CS, IT, Engineering or related field.2–4+ years in Tech Ops, DevOps, SRE, or MLOps roles.Hands-on experience with cloud platforms (GCP, 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 QualificationsMaster'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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