Machine Learning Engineer (Intermediate) (Remote)

Overview

ENVIRONMENT : Our client is on the hunt for an Intermediate Data Analyst / Machine Learning Engineer to grow their sim racing app’s data driven telemetry analysis features. You’ll turn raw laps into actionable insights - building data pipelines, training / evaluating ML.NET models, and shipping them into production. You’ll work primarily in C#, Entity Framework Core (code-first) with MSSQL on the server and SQLite in the app, surfacing insights in their Blazor / WPF UI. Expect clear goals, fast feedback, and close collaboration with the CTO.

Responsibilities

• Build end-to-end data features : ingest, clean, transform, and persist telemetry (laps, sectors, throttle / brake, steering, RPM, etc.)
• Develop ML.NET models for driver coaching : lap alignment, pace deltas, consistency scoring, anomaly / outlier detection, stint / session segmentation
• Move prototypes to production (batch and near-real-time inference) using C# + ML.NET
• Implement backend services with EF Core (code-first)
• Server : MSSQL (schema design, migrations, performance tuning)
• App : SQLite (lightweight schemas, efficient queries, migrations)
• Expose analytics via APIs and integrate results into Blazor / WPF dashboards and overlays
• Add data quality checks, validation, and observability (metrics, logging, tracing)
• Write integration tests, keep CI / CD green, and document datasets, features, and experiments
• Participate in code reviews; follow and improve coding standards

Qualifications

Nice to have

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