AI Platform Engineer (Data + Model Deployment)

Type: Long-term contract

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.