About the job
Tiger Analytics is seeking a talented and forward-thinking Senior Machine Learning Engineer with extensive hands-on experience in Google Cloud Platform (GCP) and Vertex AI. In this pivotal role, you will be responsible for designing, building, and deploying scalable machine learning solutions, while operationalizing ML models and managing the complete ML lifecycle from data ingestion to model serving and monitoring.
Key Responsibilities:
- Develop, train, and optimize machine learning models utilizing Vertex AI, leveraging Vertex Pipelines, AutoML, and custom model training techniques.
- Design and construct scalable ML pipelines for feature engineering, model training, evaluation, and deployment.
- Deploy models to production via Vertex AI endpoints and ensure seamless integration with downstream applications or APIs.
- Collaborate closely with data scientists, data engineers, and MLOps teams to foster reproducible and dependable ML workflows.
- Monitor model performance, establish alerting systems, retraining triggers, and drift detection mechanisms.
- Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS throughout ML workflows.
- Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices.
- Implement model governance, versioning, explainability, and security best practices within Vertex AI.
- Document architectural decisions, workflows, and model lifecycles clearly for internal stakeholders.
