Seeking a Specialist with 5 to 7 years of experience in LLMOps within the MLOpsGCP domain to optimize and manage machine learning lifecycle operations.
Experience : 5 to 7 years
Location Anywhere in India(LTM locations)
Notice Period : 0- 90 days
About the Role
Design develop and maintain scalable LLMOps pipelines and workflows on Google Cloud Platform. Collaborate with data scientists and engineers to deploy large language models efficiently.
Responsibilities
- Implement automation tools and frameworks for continuous integration and deployment of ML models.
- Monitor and optimize model performance resource utilization and cost on GCP.
- Ensure compliance with security and governance policies related to ML operations.
- Stay updated with latest advancements in LLMOps and MLOps practices to drive innovation.
- Troubleshoot and resolve issues related to model deployment and operationalization in cloud environments.
Qualifications
- 5 to 7 years of experience in LLMOps within the MLOpsGCP domain.
Required Skills
- Lead the endtoend lifecycle management of large language models on GCP including training deployment monitoring and scaling.
- Develop and enforce best practices for LLMOps within the organization.
- Collaborate with crossfunctional teams to integrate ML models into production systems.
- Automate workflows for data preprocessing model training validation and deployment.
- Manage cloud infrastructure resources to optimize cost and performance of ML workloads.
- Provide technical guidance and mentorship to junior team members in LLMOps and MLOpsGCP.
- Conduct performance tuning and troubleshooting to ensure high availability and reliability of ML services.
