Top AI & Machine Learning Jobs

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and experimentation. Ensure data quality, governance, lineage, performance, and secure access. Partner with AI engineers, platform teams, and product to deliver production-ready datasets, feature stores, monitoring, and delivery oversight while mentoring engineers and driving program planning.

Lead design, build, and operate scalable data pipelines and products to support foundation models and AI workloads. Ensure data quality, lineage, governance, performance, and secure access. Partner with AI, software, and platform teams; lead technical delivery, code/design reviews, and mentor engineers.

Lead and operate scalable data pipelines and products to support foundation models and AI workloads. Own ingestion, batch and streaming transformation, feature engineering, data quality, governance, and performance. Collaborate with AI, platform, and product teams; lead technical delivery, code/design reviews, and mentor data engineers while ensuring secure, production-ready datasets for model training and inference.

Lead design, build, and operate scalable, governed data pipelines and products for AI model training, inference, and evaluation. Partner with AI engineers, ensure data quality, lineage, governance, and performance; mentor engineers and drive delivery.

Lead design, build, and operate scalable data pipelines and data products to support foundation model training, inference, and evaluation. Partner with AI and platform teams to enable feature engineering, ensure data quality, governance, lineage, and secure access. Drive best practices for modeling, partitioning, performance, monitoring, and CI/CD. Provide technical leadership, code/design reviews, mentoring, and program-level planning to ensure production-ready, reliable data for AI workloads.

Lead design, build, and operate scalable, governed data pipelines and products for foundation models and AI workloads. Partner with AI and platform teams to enable feature engineering, training/inference datasets, data quality, lineage, and secure access. Provide technical leadership, code/design reviews, mentoring, and delivery planning across cloud-native distributed data environments.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Own ingestion, transformation, streaming and batch patterns, feature engineering support, data quality, lineage, governance, and performance optimization. Collaborate with AI, platform, and product teams, lead technical reviews, mentor engineers, and contribute to program planning and delivery oversight.

Lead design, build, and operate scalable data pipelines and data products to support foundation models and AI workloads. Own ingestion, transformation, feature engineering, governance, quality checks, monitoring, and collaboration with AI, platform, and product teams. Mentor engineers and drive delivery, standards, and secure, production-ready datasets for training, inference, and evaluation.

Lead design, build, and operate scalable data pipelines and data products for foundation-model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance; enable feature engineering and training datasets; collaborate with AI, platform, and product teams; mentor engineers and oversee delivery.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance across batch and streaming workloads; enable feature engineering and feature stores; mentor engineers and drive delivery with platform and product teams.