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Design, build, and deploy production AI/ML solutions including transformer and generative models. Develop data pipelines, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, perform evaluation and performance tuning, and ensure maintainable, production-grade AI systems.

Design, build, and deploy production AI solutions including transformer and generative models. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, participate in code reviews, and monitor/model performance in production.

Design, build, and deploy production AI/ML solutions including transformer and generative models. Implement data pipelines, feature engineering, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, participate in code reviews, troubleshoot and optimize models in production.

Design, build, and deploy transformer-based and generative AI models into production. Build data pipelines and feature engineering, implement model serving and inference, apply MLOps practices (tracking, versioning, testing, monitoring), collaborate with product and engineering teams, and troubleshoot and optimize model performance in production.

Design, build, and deploy production AI solutions including transformer-based and generative models. Develop data pipelines, feature engineering, training workflows, and model serving. Apply MLOps best practices, collaborate with product and engineering teams, support production troubleshooting and performance tuning, and participate in code reviews and technical planning.

Design, build, and deploy production AI solutions including transformer and generative models; develop data pipelines and feature engineering; implement model serving, monitoring, and MLOps practices; collaborate with product and engineering teams to ensure reliable, performant systems.

Design, build, and deploy production-quality AI solutions. Develop and optimize transformer and generative models, manage data pipelines and training workflows, implement model serving and MLOps practices, and collaborate with product and engineering teams to operationalize and monitor AI systems.

Design, build, and deploy production AI/ML solutions including transformer and generative models. Develop data pipelines, feature engineering, training workflows, model serving, inference, and MLOps practices. Collaborate with product and engineering teams, perform code reviews, monitor and tune models in production.

Design, build, and productionize AI/ML solutions (including transformer-based and generative models). Develop data pipelines, feature engineering, training workflows, model serving/inference, and MLOps practices. Collaborate with product, data, and engineering teams, perform code reviews, troubleshoot and optimize models in production, and ensure model monitoring, versioning, and quality.

Design, build, and deploy production AI/ML solutions, focusing on transformer and generative models. Develop data pipelines, training workflows, model serving, and MLOps practices. Collaborate with product, data, and engineering teams to ensure reliable, monitored, high-quality model performance.