MLOps Platform - GCP Cloud Engineering

**Job Summary:**
We are seeking a skilled Data and AI Engineer with 3 to 7 years of experience to join our team. The ideal candidate will have a strong background in Google Cloud Platform (GCP), data engineering, AI/ML model deployment, and Kubernetes. This role involves designing, implementing, and optimizing data solutions and AI workflows in GCP, ensuring efficient data processing and scalable machine learning operations.

**Key Responsibilities:**

- **Google Cloud Platform (GCP) Management:**
- Design, deploy, and manage GCP data services including BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Optimize data pipelines and cloud infrastructure for performance, scalability, and cost-efficiency.

- **Data Engineering:**
- Develop and maintain ETL/ELT pipelines to process large datasets efficiently.
- Implement data integration and transformation workflows to support business intelligence and analytics.
- Ensure data quality and integrity through effective validation and monitoring.

- **AI/ML Deployment:**
- Deploy, scale, and manage machine learning models using GCP AI services like AI Platform, Vertex AI, or TensorFlow on GCP.
- Collaborate with data scientists to operationalize machine learning workflows and integrate them into production systems.
- Monitor and optimize model performance, and implement best practices for model versioning and retraining.

- **Kubernetes and Containerization:**
- Orchestrate and manage containerized data and AI applications using Kubernetes.
- Deploy and maintain Kubernetes clusters on GCP.
- Develop and manage Helm charts for deploying data and AI applications.

- **Collaboration and Support:**
- Work closely with cross-functional teams to understand data and AI requirements and deliver effective solutions.
- Document processes, configurations, and best practices for team knowledge sharing and future reference.
- Provide technical support and troubleshoot complex issues related to data and AI infrastructure and services.