Spark, Ray) or distributed ML infrastructure Familiarity with the ML model lifecycle (training, evaluation, deployment) and frameworks such as PyTorch or JAX Experience building, deploying, and debugging production services and data products end to end Experience with agentic AI-assisted codingBachelors degree in Computer Science, Engineering, or a related discipline, or equivalent industry experience. Core ML, quantization, pruning) Experience with data quality, lineage, and dataset versioning tools, and with privacy-preserving data practices Experience building tools and services that optimize ML systems beyond model selection Collaborative, with experience driving large cross-team projects.