AI/ML engineer with GCP Cloud

We are seeking an experienced AI/ML Engineer with deep expertise in Google Cloud Platform (GCP) to design, develop, and deploy scalable machine learning solutions. **Key Responsibilities:** - Build and maintain large-scale data pipelines using BigQuery and GCP services for predictive analytics. - Develop, train, validate, and deploy Machine Learning models on Vertex AI, BigQuery ML, and other cloud-native tools. - Perform feature engineering, ETL/ELT processes, and optimize query performance within BigQuery environments to manage costs effectively. - Create robust APIs to integrate machine learning models with enterprise applications. - Monitor model performance in production, managing retraining workflows and ensuring data quality, governance, security, and compliance. - Collaborate cross-functionally to translate business requirements into innovative AI/ML solutions. **Required Skills & Experience:** - 2–5 years of hands-on experience developing ML models using Python and SQL. - Strong proficiency with GCP services: Vertex AI, BigQuery ML, Looker (or Power BI) for visualization. - Familiarity with Generative AI, Large Language Models (LLMs), and frameworks like LangChain. - Knowledge of data governance best practices and cloud-native architecture principles. **What You'll Achieve:** Drive business value by implementing advanced AI solutions that leverage Google's cutting-edge tools. Work on projects involving structured/unstructured datasets, automate MLOps workflows, and contribute to a dynamic team focused on innovation in artificial intelligence.