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AI Platform Engineer (Data + Model Deployment)

USA, Remote

Type: Short-term, 6 months
Location: Remote, overlap with PST

At Sphere, we partner with a fintech startup providing AI-powered credit scoring and fraud detection solutions for underserved markets.

Role: Build the platform that turns ML models into reliable, production-grade services.

Responsibilities:

  • Design and implement model serving frameworks and APIs.

  • Build automated pipelines for feature extraction, training, and deployment.

  • Ensure high availability and reliability of AI services.

  • Collaborate with product teams to integrate ML features into applications.

Requirements:

  • Experience Python and ML frameworks (TensorFlow, PyTorch) - at least 4 years. 

  • Experience deploying ML models in production.

  • Cloud experience (AWS, GCP, or Azure).

  • Knowledge of containerization and CI/CD for ML workflows.

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