Machine Learning Engineer (Intermediate) (Remote) - Datafin IT Recruitment
Johannesburg, Gauteng 1 day ago Permanent Salary - Market Related Remote Job
Machine Learning Engineer (Intermediate) (Remote)
Datafin IT Recruitment
Johannesburg, Gauteng
Date Created : 1 day ago
Job Type : Permanent
Salary : Market Related
Remote Job
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.
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
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
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