ML Engineer — Predictive Maintenance Lahore, Pakistan / Remote ·

OpsSense Technologies Inc. · Lahore, Lahore District; Punjab, Pakistan

You will build the models that tell a plant a bearing will fail before it does. The inputs are vibration, temperature, current, and work-order history from our own sensors; the output is a prediction a maintenance planner can trust. Accuracy here is not a leaderboard number — it is avoided downtime.

• Develop and productionize failure-prediction and anomaly-detection models on multivariate sensor time series.
• Build training and evaluation pipelines that handle noisy, imbalanced, real-world industrial data.
• Work with firmware and backend teams on feature extraction at the edge versus the cloud.
• Define honest evaluation: precision-recall trade-offs, lead-time metrics, and calibration that operations teams can act on.
• Feed model outputs into agent workflows with human-in-the-loop controls and clear explanations.

What you bring

• 3+ years applying machine learning in production, ideally on time-series or sensor data.
• Strong Python and experience with the standard ML stack; solid grasp of classical methods, not just deep learning.
• Understanding of signal processing (FFT, spectral features) or willingness to learn it quickly.
• Rigor about evaluation and failure modes; you would rather ship a calibrated simple model than an impressive uncalibrated one.
• Ability to explain model behavior to non-ML colleagues and customers.