Senior AIML Engineer

Driving end-to-end operationalization of AI and Agentic AI solutions by deploying scalable production environments, implementing MLOps/AgentOps CI/CD pipelines, and optimizing cloud infrastructure for performance, reliability, and cost efficiency.

Primary Skills: Python, Bash, GCP, Vertex AI, CI/CD

Key Responsibilities:

• Deploy, configure, and manage AI models, agentic systems, and supporting infrastructure in cloud (e.g., GCP) and on-premise environments.
• Implement and maintain CI/CD pipelines for AI/ML models and agentic applications (MLOps/Agent Ops).
• Manage and optimize cloud resources, ensuring cost-effectiveness and scalability for AI workloads.
• Collaborate with infrastructure teams to ensure network, storage, and compute resources meet the demands of AI systems.

Monitoring, Logging & Alerting

• Develop and implement comprehensive monitoring, logging, and alerting solutions for AI agents and infrastructure to ensure high availability and performance.
• Proactively identify and address potential issues, performance bottlenecks, and anomalies in production AI systems.