Job Title

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.