Johannesburg: Machine Learning Engineer (Intermediate) posted by Sabenza IT & Recruitment

This is a remote position.

Were hiring an intermediate Data Analyst / ML Engineer to grow our sim racing apps datadriven  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 our Blazor/WPF UI. Expect clear goals, fast feedback, and close collaboration with the CTO.

What Youll Do

• 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
  

What You Bring

• 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