Machine Learning Engineer

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.