Top AI & Machine Learning Jobs

Design, build, and deploy transformer-based and generative AI models into production. Develop training workflows, data pipelines, feature engineering, model serving, and inference APIs. Apply MLOps practices (tracking, versioning, testing, monitoring), collaborate with product and engineering teams, troubleshoot and optimize production models, and follow security and engineering standards.

Design, build, and deploy transformer-based and generative AI models into production. Develop training and inference workflows, data pipelines, feature engineering, model serving, and MLOps (tracking, versioning, testing, monitoring). Collaborate with product and engineering teams, perform performance tuning and troubleshooting, and follow software engineering best practices.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, training workflows, model serving/inference, and MLOps practices. Collaborate with product, data, and engineering teams, perform model evaluation and tuning, and maintain production monitoring and lifecycle management.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps (tracking, versioning, testing, monitoring). Collaborate with product, data, and engineering teams, perform code reviews, and troubleshoot and optimize production model performance.

Design, build, and deploy transformer-based and generative AI models into production. Implement training pipelines, feature engineering, model serving, MLOps practices, monitoring, and integration with downstream APIs. Collaborate with product, data, and engineering teams to translate requirements and troubleshoot production model performance.

Design, build, and deploy transformer-based and generative AI models into production. Develop training workflows, data pipelines, model serving and inference, and apply MLOps best practices. Collaborate with product, data, and engineering teams to translate requirements, run evaluations, monitor production performance, and troubleshoot/optimize models.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, perform code reviews, monitor model performance, and support production troubleshooting and optimization.

Design, build, and deploy transformer-based and generative AI models into production. Implement training workflows, data pipelines, feature engineering, model serving, and monitoring. Apply MLOps best practices, collaborate with product and engineering teams, participate in code reviews, and troubleshoot model performance in production.

Design, build, and deploy transformer-based and generative AI models into production. Develop training workflows, data pipelines, model serving, and implement MLOps practices. Collaborate with product, data, and engineering teams to operationalize models, monitor performance, troubleshoot issues, and follow software engineering standards.

Design, build, and deploy transformer-based and generative AI models for production; implement training and inference workflows, data pipelines, model serving, and MLOps practices; collaborate with product, data, and engineering partners and support production troubleshooting and performance tuning.