Data & AI Engineer

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3 hours ago

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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FortifyIQ

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Cybersecurity • Hardware • Security

FortifyIQ is a company specializing in cybersecurity for hardware and software systems, providing state-of-the-art protection against side-channel and fault injection attacks. Their product offerings include secure IP cores and software libraries that incorporate advanced algorithmic protections, ensuring no compromise on performance or latency, and a low gate count. FortifyIQ's solutions are utilized to fortify devices, including those already in the field, from SCA and FIA vulnerabilities, making them ideal for SoC integration. Their technology agnostic security solutions support industries facing high-speed and minimal size requirements, backed by peer-reviewed studies and independent verification. FortifyIQ emphasizes its innovative solutions that help companies eliminate vulnerabilities, enhance device protection, and maintain trust through rigorous security assessments and pre-silicon validation tools.

11 - 50 employees

🔒 Cybersecurity

🔧 Hardware

🔐 Security

📋 Description

• 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. • Document code, models, and processes for transparency and reproducibility.

🎯 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.