Artificial Intelligence Technical Operations Specialist

2 weeks ago

nadiad, India beBeeTechnical Full time

Job Title: Artificial Intelligence Technical Operations EngineerWe are seeking a proactive and skilled Artificial Intelligence Technical Operations Engineer to ensure the reliability, scalability, and efficiency of AI systems in production.Key Responsibilities:Deployment & Infrastructure: Deploy and manage AI models, agentic systems, and infrastructure across cloud platforms (GCP, AWS, Azure) and on-premises environments.Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for AI/ML applications using Jenkins, GitLab CI, or GitHub Actions.Optimize cloud resources for cost-effectiveness and scalability.Monitoring & Incident Management: Build monitoring, logging, and alerting solutions for AI systems using Prometheus, Grafana, ELK, or Datadog.Handle incident response, root cause analysis, and maintain runbooks.Automation & Operational Excellence: Automate deployments and maintenance using Python/Bash scripting and Infrastructure as Code (IaC) tools (Terraform, Ansible).Enforce security, compliance, and operational best practices.Collaboration & Documentation: Work with AI developers, data scientists, and architects to ensure smooth production transitions.Maintain clear documentation and provide feedback on system performance.Required Skills and Qualifications:Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.2-4+ years of experience in Tech Ops, DevOps, Site Reliability Engineering (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.

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