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The ideal candidate should have strong expertise in Python, Machine Learning, BigQuery, Data Engineering, and Cloud-based AI services, with hands-on experience in building scalable data pipelines and AI-driven applications.\nThis role requires working closely with data engineers, data scientists, and business stakeholders to build production-ready ML solutions and leverage cloud-native technologies for advanced analytics and AI initiatives.\nResponsibilities\nDesign, develop, and deploy Machine Learning and AI solutions on Google Cloud Platform (GCP).\nBuild and maintain scalable data pipelines using BigQuery and GCP services.\nDevelop and optimize machine learning models for predictive analytics and business use cases.\nWork with structured and unstructured datasets for data preparation, transformation, and feature engineering.\nImplement data ingestion and ETL/ELT processes using cloud-native services.\nDevelop APIs and integrate machine learning models with enterprise applications.\nCollaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.\nMonitor model performance, retraining processes, and production deployments.\nEnsure data quality, governance, security, and compliance across data and AI workflows.\nOptimize query performance and cost management within BigQuery environments.\nSupport MLOps practices including model deployment, monitoring, and automation.\nCreate technical documentation and provide support for AI/ML solutions.\nTechnical requirements\n2-3 years of hands-on experience in AI/ML model development and deployment\nStrong proficiency in Python and SQL for machine learning and data processing workflows\nExperience developing, training, and deploying Machine Learning models on Google Cloud Platform (GCP)\nHands-on experience with BigQuery for large-scale data processing, analytics, and feature engineering\nUnderstanding of the complete ML lifecycle, including data ingestion, preprocessing, model training, validation, deployment, and monitoring\nExperience working with Vertex AI, BigQuery ML, and other GCP AI/ML services\nAdditional responsibilities\nExperience with Vertex AI for model training and deployment.\nFamiliarity with Generative AI and Large Language Models (LLMs).\nHands-on experience with LangChain or similar AI frameworks.\nKnowledge of data governance and security best practices.\nExposure to GCP AI services and cloud-native architecture.\nExperience with dashboarding and visualization tools such as Looker or Power BI.\nPreferred skills\nTechnology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - 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