Data & AI Engineer
FortifyIQ
full-time
Posted on:
Location Type: Remote
Location: Remote • Florida • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonTensorFlowPyTorchScikit-learnPandasNumPySQLAirflowSparkdata manipulation
Soft skills
collaborationcommunicationdocumentationproblem-solvinganalytical thinking