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Frequently asked questions

Should I hire a machine learning developer or a data scientist?

Hire for the work rather than the title. If you need experimental design, target definition, and statistical analysis, emphasize those skills in interviews. If your bottleneck is packaging models, building inference APIs, or maintaining training pipelines, prioritize software engineering and deployment experience. Some projects need both skill sets with clearly divided responsibilities.

When should a project use scikit-learn instead of PyTorch?

Scikit-learn is a practical starting point for many tabular classification and regression tasks, especially when you need inspectable baselines and consistent preprocessing. PyTorch fits workloads requiring neural architectures or custom training loops. Benchmark appropriate alternatives, including XGBoost for tabular data, against your evaluation criteria before accepting additional infrastructure and tuning complexity.

How do machine learning developers prevent data leakage?

Split data according to how predictions will be used, which may require time-based or entity-based partitions rather than random rows. Fit preprocessing only on training data, using tools such as scikit-learn Pipeline. Check for post-outcome fields, duplicate records, and related entities crossing splits. Keep final evaluation data separate from model selection.

What is needed to deploy a machine learning model in production?

Deployment needs more than a serialized model. Package preprocessing and dependencies, validate input schemas, and version the artifact alongside its evaluation results. FastAPI and Docker can support an inference service, while MLflow can track experiments and artifacts. Monitor latency, errors, and data changes; assess prediction quality when reliable outcome labels become available.

How do I hire a US-based machine learning developer without sharing code first?

Start with a 15-minute call describing your dataset structure, model stack, and deployment constraints without exposing confidential records. NextGen Coding Company signs an NDA and full IP assignment before touching code. All engineers live and work in the US. Most teams interview matched engineers within a week of the first call.

Are your developers really based in the US?

Yes. Every engineer lives and works in the United States. No offshore subcontracting and no hand-offs to another team. That's written into the contract.

How fast can someone start?

Most teams interview matched engineers within a week of the first call. Start dates depend on your interview process.