Data & AI Engineer (Remote)

FortifyIQ is seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You will transform complex engineering data into actionable insights through automation, predictive modeling, and visualization.

Key Responsibilities

• Pipeline Development: Build and maintain data pipelines to support machine learning and analytics workflows.
• Data Transformation: Collect, clean, and transform large, complex datasets from engineering environments.
• Predictive Modeling: Develop and train predictive models for yield, performance, and anomaly detection.
• Automation: Automate recurring data analysis tasks and integrate models into engineering processes.
• Visualization: Create dashboards and visualization tools for reporting and decision-making.

Requirements

• Experience: 3–5 years of experience in data engineering or applied AI.
• Tech Stack: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Data Skills: Strong skills in data manipulation (Pandas, NumPy, SQL).
• Orchestration: Experience with workflow orchestration tools like Airflow, Spark, or similar.
• Education: Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.

Nice to Have

• Domain Knowledge: Familiarity with semiconductor design, verification, or manufacturing datasets.
• Cloud: Experience with cloud environments (AWS, Azure, GCP).
• MLOps: Knowledge of MLOps principles (deployment, monitoring, CI/CD).