AI Engineer

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.
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