AI Systems Development and Operations Lead

5 days ago

lucknow, India beBeeOperational Full time

Job TitleA cutting-edge AI Engineer and Operations Specialist is sought after to drive the development and implementation of AI systems in production.This role entails ensuring the reliability, scalability, and efficiency of AI and agentic AI systems. The successful candidate will manage deployments, monitor performance, troubleshoot issues, and implement best practices for Tech Ops/MLOps/LLMOps.Deployment & Infrastructure:Deploy and manage AI models, agentic systems, and infrastructure across cloud platforms (GCP, AWS, Azure) and on-prem environments.Implement Continuous Integration and Continuous Deployment (CI/CD) pipelines for AI/ML and agentic applications.Optimize cloud resources for cost-effectiveness and scalability.Monitoring & Incident Management:Develop 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 Infrastructure as Code (IaC) tools (Terraform, Ansible).Enforce security, compliance, and operational best practices.Collaboration & Documentation:Work with AI developers, data scientists, and architects for seamless production transitions.Maintain clear documentation and provide feedback on system performance.RequirementsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.2–4+ years of experience in Tech Ops, DevOps, SRE, or MLOps roles.Familiarity with cloud platforms (GCP—Vertex AI, AWS, Azure).Proficiency 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.Preferrable 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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