Senior AIML Engineer
Experience: 5 - 9 Years

Must Have Skills: Docker, Vertex AI, Google Cloud Platform, CKA (Certified Kubernetes Administrator), Bash, Continuous integration (CI) and continuous delivery (CD), Python

Job Descriptions

- Deploy, configure, and manage AI models, Agentic AI systems, and supporting infrastructure across Google Cloud Platform (GCP) and on-premise environments.
- Implement and maintain CI/CD pipelines for AI/ML models and Agentic AI applications using MLOps/AgentOps practices.
- Manage and optimize cloud resources to ensure scalability, reliability, performance, and cost-effectiveness for AI workloads.
- Collaborate with infrastructure teams to ensure network, storage, and compute resources meet the operational demands of AI systems.
- Develop and implement monitoring, logging, and alerting solutions to ensure high availability and performance of AI agents and infrastructure.




- Proactively identify, troubleshoot, and resolve production issues, performance bottlenecks, and operational anomalies in AI systems.
- Automate operational processes and infrastructure management using Python and Bash scripting.
- Work closely with AI developers, architects, and data scientists to support deployment, maintenance, and continuous improvement of AI solutions.
- Implement operational best practices to ensure secure, scalable, and resilient AI platforms.
- Contribute to building and enhancing the operational framework for enterprise AI and Agentic AI initiatives.

Pay: ₹100,000.00 - ₹200,000.00 per year

Application Question(s):

- Cctc?
- Ectc?
- Np?
- Current Location?

Work Location: Remote

📌 AIML Engineer (India)
🏢 BusinessUp Software Solutions Private
📍 India