Python ML and Signal Analytics Engineer Offline

We are looking for a Python engineer with a strong background in signal processing and production ML inference. You will work with industrial sensor data to support equipment diagnostics, anomaly detection and predictive maintenance. 

Responsibilities 

• Implement feature extraction from telemetry, waveforms and spectral data. 
• Develop and integrate signal-based diagnostics and early-warning detectors. 
• Build a containerised inference service and integrate it with Go backend services. 
• Load versioned model artefacts from S3 and support reproducible inference and rollback. 
• Validate numerical outputs against reference datasets and investigate discrepancies. 
• Optimise inference latency and evaluate detector behaviour, including false positives. 

Requirements 

• Strong Python skills and experience delivering maintainable production software. 
• Practical experience with NumPy, SciPy and numerical data processing. 
• Solid digital signal processing knowledge: FFT, windowing, spectral analysis and peak detection. 
• Experience with time-series analysis, feature extraction, anomaly detection and statistical methods. 
• Experience serving ML models in production, including model loading and version management. 
• Ability to validate numerical correctness and handle precision and reproducibility requirements. 
• SQL skills and experience retrieving and processing historical data windows. 
• Experience with Docker, automated tests, profiling and performance optimisation. 
• English sufficient for technical discussions, documentation and client collaboration. 

Nice to have 

• Predictive maintenance, industrial IoT or electrical motor diagnostics. 
• Knowledge of motor slip, electrical characteristics or remaining useful life estimation. 
• Go development experience and integration with event-driven backend systems. 
• AWS S3, ECS Fargate, TimescaleDB and statistical process control. 

Technology environment 

Python, NumPy, SciPy, SQL, Docker, AWS S3, time-series data and integration with Go services. 

Soft Skills

You’ll feel comfortable in this role if you:

• Take ownership of your work and follow things through.
• Prefer solving problems rather than simply highlighting them.
• Focus on results and keep things practical.
• Communicate openly and respectfully with others.

We offer

• Salary based on qualifications and experience.
• Official employment.
• 21 working days of paid vacation.
• 14 days of paid sick leave.
• The opportunity to work on challenging web application projects delivered to clients around the world, including North America, Europe, Australia, and Asia.