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- ...with Python and deep learning frameworks (PyTorch or TensorFlow) Experience deploying ML models in production using cloud platforms (AWS, Azure or GCP) and containerization tools (Docker, Kubernetes) Strong knowledge of MLOps practices including CI/CD, infrastructure as...
- ...inspection methods. Ability to apply international codes and standards relevant to inspection operations, such as API, ASME, and AWS. Ability to demonstrate a strong understanding of pipeline inspection principles, including pigging operations, pipeline...
- ...systems, HPC) and ERP (e.g. enterprise systems, integrations). You will have experience with cloud computing platforms, such as AWS, Azure, or Google Cloud. You will be able to demonstrate leadership experience, with the ability to motivate and inspire teams to...
- ...Kubernetes for deploying data services. Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services. Data Processing: Strong proficiency in batch and stream processing....
- ...stakeholders. You will also have a solid understanding of cloud platforms such as GCP, Cloudera, Databricks, Palantir Foundry, AWS or Azure, with experience in deploying and managing models in production environments. Knowledge of optimization techniques, linear...
