Machine Learning Engineer (with Vertex AI Experience)

Job description

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 mechanisms. - Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub , and GCS in ML workflows. - Apply CI/CD principles to ML models using Vertex AI Pipelines , Cloud Build , and GitOps practices. - Implement model governance, versioning, explainabi...