Machine Learning Engineer (Intermediate) (Remote)

Verified Ad Apply Now Machine Learning Engineer (Intermediate) (Remote) Datafin Monday, 20 April 2026 2 IT/Computer - Other IT/Computer South Africa FULL TIME Job Specification Company Reference Number 26757 Job Summary Machine Learning Engineer (Intermediate) (Remote)

Engineering/Technical Remote ENVIRONMENT: Our client is on the hunt for an Intermediate Data Analyst / Machine Learning Engineer to grow their sim racing apps data driven telemetry analysis features. Youll turn raw laps into actionable insights - building data pipelines, training/evaluating ML.NET models, and shipping them into production. Youll 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. DUTIES: 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 REQUIREMENTS 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 Apply for this Job Datafin Recruiter Apply Now Refer a friend