Job Title: GCP Python Data Engineer with AI/ML Experience Job Summary We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), Python, and AI/ML pipelines to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience with data ingestion, transformation, orchestration, and integrating AI/ML models into production systems. Key Responsibilities • Design, develop, and maintain ETL/ELT pipelines on GCP using Python, BigQuery, Dataflow, and other GCP services. • Collaborate with Data Scientists to operationalize AI/ML models using Vertex AI, AI Platform, or similar tools. • Implement best practices for data storage, processing, and governance. • Develop APIs and microservices to expose AI/ML model predictions and data outputs. • Optimize pipelines for performance, scalability, and cost efficiency. • Work with DevOps teams to implement CI/CD for data and ML pipelines. • Monitor and troubleshoot production data pipelines and model deployments. Required Skills & Qualifications • 3–7 years of professional experience in Data Engineering. • Strong proficiency in Python for data processing and automation. • Solid hands-on experience with GCP services such as: • BigQuery • Cloud Storage • Dataflow / Apache Beam • Pub/Sub • Composer (Airflow) • Vertex AI / AI Platform • Experience with AI/ML model deployment and serving in production. • Strong knowledge of SQL and performance tuning for large datasets. • Experience with Docker and Kubernetes. • Familiarity with CI/CD tools (Cloud Build, Jenkins, GitLab CI). Preferred Skills • Experience with TensorFlow, PyTorch, or scikit-learn. • Knowledge of data governance, security, and compliance on cloud platforms. • Exposure to MLOps best practices. • Experience with streaming data processing (Kafka, Pub/Sub). Education • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.