Machine Learning Engineer

2 weeks ago

WorkFromHome, South Africa Datafin Full time

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 3+ years total experience, with solid C#/.NET backend skills. Practical ML.NET experience (regression / classification / clustering; time-series a plus). Proficiency with EF Core, LINQ, and code-first workflows across MSSQL (server) and SQLite (app). Ability to design features, evaluate models (cross-validation, proper metrics), and ship to production. Comfortable with Git workflows, integration testing, and CI / CD. Nice to have Signal processing for telemetry (resampling, smoothing, filtering). Real-time / near-real-time analytics, caching, and background workers. Visualization skills for comparative laps and telemetry overlays. Experimentation (A/B), metric design (pace / consistency indices). Interest in sim racing or motorsport. #J-18808-Ljbffr

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