GCP Machine Learning Specialist

• Design, develop, and deploy machine learning models using Google Cloud Platform, particularly with Vertex AI. • Work with large-scale datasets using BigQuery for data processing, analysis, and feature engineering. • Collaborate with business and technical teams to translate requirements into scalable ML solutions. • Integrate machine learning pipelines with other GCP services for data ingestion, monitoring, and deployment. • Prepare analytical reports and visualizations that support data-driven decision-making.

Contractor Profile – GCP Machine Learning Specialist Remote Key Responsibilities: • Design, develop, and deploy machine learning models using Google Cloud Platform, particularly with Vertex AI. • Work with large-scale datasets using BigQuery for data processing, analysis, and feature engineering. • Collaborate with business and technical teams to translate requirements into scalable ML solutions. • Integrate machine learning pipelines with other GCP services for data ingestion, monitoring, and deployment. • Prepare analytical reports and visualizations that support data-driven decision-making. Required Skills and Qualifications: • Proven experience working with Google Cloud Platform, especially BigQuery and Vertex AI. • Strong background in machine learning concepts, algorithms, and model deployment. • Solid programming experience in Python and R. • Strong understanding of data engineering and ETL processes. • Proficiency in spoken and written English, suitable for technical discussions and documentation. • Entrepreneurial and proactive attitude, capable of working independently and proposing new solutions. Originally posted on Himalayas Machine-Learning-Engineer, Data-Engineer, Data-Scientist, GCP-Machine-Learning, Machine-Learning-Specialist