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Responsibilities:
- Build and maintain data pipelines to support machine learning and analytics workflows.
- Collect, clean, and transform large, complex datasets from engineering environments.
- Develop and train predictive models for yield, performance, and anomaly detection.
Qualifications:
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong skills in data manipulation (Pandas, NumPy, SQL).
- Experience with workflow orchestration (Airflow, Spark, or similar).
Preferred / Plus:
- Familiarity with semiconductor design, verification, or manufacturing datasets.
- Understanding of statistical modeling and predictive maintenance.
- Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
FortifyIQ
We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.