Machine Learning Engineer (Intermediate)

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 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 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#
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 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

Required Skills:

Machine Learning C#

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 models and shipping them into production. Youll work ...

This is a remote position.

What Youll Do

Build end-to-end data features: ingest clean transform and persist telemetry (laps sectors throttle/brake steering RPM etc.)
Develop 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#
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 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