Job Requirements
We are looking for a senior engineer with 5 to 8 years of experience in data analysis and applied AI/ML who turns real business problems into working analytical and machine learning solutions. You will own the path from question to production: framing the problem, building and evaluating models, and working with product and engineering to ship them and measure their impact. You will bring a software engineering mindset to data science.
Work Experience
Required Skills
- 5 to 8 years of experience in data analysis and applied AI/ML, from problem framing through deployment.
- Software engineering experience, with a strong background in building production systems.
- Experience with time-series and anomaly detection, including PCA, KNN, and autoencoder-based approaches.
- Experience with industrial or process data, such as sensor, equipment, or plant data.
- Strong Python skills (3.10+), with deep familiarity with pandas, NumPy, scikit-learn, structured logging.
- Strong SQL skills for working with large datasets.
- Solid understanding of statistics and experimental design, including data cleaning, feature engineering, and model evaluation.
- Experience deploying and monitoring models in production, including model versioning, drift detection, and retraining.
- Working knowledge of Git, Docker, and CI/CD pipelines.
- Solid understanding of distributed systems patterns, including message queues, event-driven architecture, and idempotency.
- Clear communication and a habit of measuring results.
Nice to Have
- Experience with agentic development and deployment.
- Hands-on experience with APM tools.
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