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.
Automate recurring data analysis tasks and integrate models into engineering processes.
Collaborate with design and software teams to embed AI-driven insights into products.
Create dashboards and visualization tools for reporting and decision-making.

🎯 Requirements

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).
3–5 years of experience in data engineering or applied AI.
Bachelor’s degree in Electrical Engineering, Computer Science, or related field.

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