Data Engineer Google Cloud (GCP)
Position Summary:
We are seeking an experienced Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, develop, and operationalize advanced AI/ML and Generative AI solutions. The ideal candidate is a full-stack data scientist who thrives across the entire ML lifecycle from data exploration and model development to scalable deployment and monitoring using modern MLOps frameworks.
Key Responsibilities:
- Design, train, and deploy ML, DL, and Generative AI models using Vertex AI, BigQuery, and other GCP services.
- Build and maintain scalable data pipelines and production-grade ML systems using Docker, GKE, or Cloud Run, integrated with CI/CD and monitoring frameworks.
- Perform advanced statistical and exploratory data analysis to extract actionable business insights.
- Partner with cross-functional teams to translate business objectives into robust, data-driven AI solutions.
- Stay current with the latest developments in GenAI, LLMs, and MLOps best practices, continuously improving model performance and scalability.
Required Skills & Qualifications:
- 3+ years of hands-on experience in Data Science or Machine Learning Engineering.
- Bachelor's or master's degree in computer science, Statistics, Data Science, or a related field.
- Proven expertise with Vertex AI, BigQuery, GCS, Docker, and Kubernetes.
- Strong proficiency in Python and related ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Practical experience with LLMs, fine-tuning, and Generative AI workflows.
- Familiarity with CI/CD pipelines, model versioning, and performance monitoring tools.
Preferred Qualifications:
- Google Cloud certifications, such as Professional ML Engineer or Data Engineer.
- Experience with Azure ML or multi-cloud environments.
- Knowledge of Terraform or other Infrastructure-as-Code (IaC) tools.
