Job Description
What a typical day looks like:
- Good experience in AI algorithms of Classification & Detection, Time‑Series & Predictive Models, Anomaly Detection, Reinforcement Learning, Clustering & Recommendation.
- OpenCV, YOLO, TensorFlow/PyTorch vision libraries.
- Image and video analytics.
- Statistical modeling, time‑series forecasting, reliability engineering.
- Anomaly detection algorithms, predictive maintenance systems.
- Cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
- Strong coding practices (version control, CI/CD, unit testing).
The experience we’re looking to add to our team:
- Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, or Computer Science.
- 4–6 years in AI/ML development, with projects in reliability modeling, predictive analytics, and anomaly detection.
- Proven track record of deploying ML models in production environments. <...