First hand experience in MLOps on providers such as databricks, AWS (Sagemaker), Azure, Kubeflow, etc.
First hand experience with writing optimized Python code using libraries like asyncio, dask, etc.
Experience with technicalities of data visualization tools such a superset (internals, code modification, etc) and API servers for data science based applications.
First hand experience building self hosted analytic clusters with Dask or Spark.
Good experience in optimizing ML workflows on Pytorch / TF with system level improvements such as prefetching, shared data, Gpu Direct Memory, etc would bump up your visibility.
Experience developing software in Cloud Native approach will also bump up your visibility, for e.g exposure to Kubernetes (CRDs, Operators), Istio, Argo, NATS, etc