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Five pieces of information are enough: the business goal and the problem to solve, the technology area (machine learning, NLP, computer vision…), an overview of the data you have available, any infrastructure or security constraints, and finally what you expect in terms of delivery and future maintenance.
Look at three concrete things: what gets delivered, how many revisions are included, and what approval steps are planned. Favor those who show similar past projects and explain how they handle timing and communication.
You usually get everything you need to be self-sufficient: the source code — typically in Python — with scripts for the data pipeline and for future model retraining, the already-trained model weights (in .pt, .pkl or .onnx format) and configuration files. On the infrastructure side: Docker or Kubernetes files for deployment and an already-configured, working cloud environment. Finally, a performance metrics report, API documentation, a model card — also important for AI Act compliance — and the formal transfer of intellectual property rights on the code and trained model.
Yes. Many professionals on this page also work as pure freelance Python developers, for automations, scripts or backend development not related to artificial intelligence. State this need in your project description to get targeted proposals.
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