Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.
About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Platform Engineer, MLOps in San Francisco, CA.
This role is focused on building and maintaining the infrastructure that powers AI/ML development and production environments. You’ll collaborate closely with machine learning engineers and researchers to implement robust CI/CD pipelines, oversee container orchestration systems, and optimize large-scale training and inference workloads. Your work will ensure operational excellence, improve system reliability, and scale Kubernetes clusters supporting GPU-intensive tasks. This is a high-impact position for someone passionate about automating ML workflows and solving infrastructure challenges in fast-paced, high-growth environments.
Accountabilities:
