AI Systems Engineer

2 days ago

belgaum, India beBeeAI Full time

Job Opportunity: AI Systems EngineerWe are seeking an experienced and skilled Ai Systems Engineer to join our team. As an AI Systems Engineer, you will be responsible for ensuring the reliability, scalability, and efficiency of AI systems in production.The ideal candidate will have a strong background in software development, with expertise in cloud platforms (GCP, AWS, Azure) and experience with deployment, monitoring, and maintenance of AI models and agentic systems.Key Responsibilities:Deployment & Infrastructure:Deploy and manage AI models, agentic systems, and infrastructure across cloud and on-prem environments.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.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 Qualifications: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.

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