Job Description
Design and deploy scalable ML solutions using GCP (Vertex AI, BigQuery, Cloud Run, Airflow)
- Build and optimize data pipelines and ML models using TensorFlow, PyTorch, and PySpark
- Implement CI/CD pipelines for ML (Jenkins) with model versioning and automated deployments
- Automate workflows using Python, SQL, and Bash
- Work with Docker & Kubernetes (GKE) for containerized deployments
- Monitor system performance using Prometheus, Grafana, and GCP tools
- Ensure security, compliance, and best practices across ML systems
Strong experience in ML Engineering, MLOps, and GCP
Hands-on with data pipelines, CI/CD, and cloud-native tools
Solid programming and problem-solving skills
