Which cloud providers have you worked with in a professional context? (AWS, GCloud, Azure, Other) Which deep-learning/ ML frameworks have you worked with? (PyTorch, Tensorflow, Sklearn, XGBoost, Jax, Other) Which automation/ CI-CD tools are you familiar with (GitHub actions, Ansible, Apache Airflow, Travis, CircleCI, Other) Which serving frameworks are you familiar with? (Flask, Nginx, GRPC, Other) Which orchestration and containerization frameworks are you familiar with? (Docker, Docker compose, Kubernetes, ECS, Fargate, EKS, Other) Which databases/ -warehouses/ -lakes have you worked with in the past? (MongoDB, SQL, PostGreSQL, Snowflake, Databricks, Redis, Google Big Query, ElasticSearch, Other) Which MLOps tooling are you familiar with? (DVC, TorchServe, AWS Sagemaker, Weights&Biases, Feast KubeFlow, MLFlow, Prefect, TensorFlow Extended, (TFX) Serving, Other) Which of the following scientific libraries have you worked with? (numpy, scipy, matplotlib, pandas, numba, dask, Other) Which of the following libraries for high performance computing to you have experience with? (CUDA, Deepspeed, Horovod, NCCL, MPI, Other) Which of the following deep learning techniques could you explain? (Batch normalization, Gradient checkpointing, Quantization, Mixed precision training, Other) Which of the following libraries or databases for vector search have you played with? (Faiss, Milvus Pinecone, ScaNN, Qdrant, Chroma, ElasticSearch similarity search, Other)
