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. Key Responsibilities:

Develop, train, and optimize ML models using

Vertex AI , including Vertex Pipelines, AutoML, and custom model training. Design and build scalable ML pipelines for feature engineering, training, evaluation, and deployment. Deploy models to production using Vertex AI endpoints and integrate with downstream applications or APIs. Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows. Monitor model performance and set up alerting, retraining triggers, and drift detection mechani...