Data (Machine Learning) Engineer (133103)

Design, develop, modify and implement machine learning models and genetic algorithms for automated network presence systems and solutions. Specific duties include: (1) Analyze data collected from spaces outfitted with various IoT devices using Python libraries like Pandas, NumPy and SciPy to solve real-world problems such as activity detection, human presence detection, people counting, real time location tracking, etc.; (2) Preprocess (clean, integrate, transform, reduce and discretize) time series network diagnostic data using scripts written in Python; (3) Extract meaningful features from the preprocessed raw data using radio frequency domain knowledge and statistics to improve the performance of existing machine learning models; (4) Create new machine learning models and genetic algorithms using libraries (like Scikit-learn, TensorFlow and Keras) to understand various physical phenomena; (5) Visualize the data in new and interesting ways using Matplotlib and Plotly and Tableau; (6) Design data pipelines and modify them for different installations and scales using InfluxDB and SQLite, Rust, C and Python; (7) Maintain data pipelines by various Python and Bash Shell scripts to periodically perform cleanup tasks and integrity checks; (8) Perform unit and integration tests on the data pipelines to ensure robustness and reliability; (9) Optimize data pipelines to increase efficiency in terms of computing power and storage size in order to minimize operating costs and enable installation at larger scales; (10) Develop frameworks for showcasing the various products and solutions using Bokeh; (11) Demo and present state of the art solutions to human presence detection and real time location tracking to potential partners/customers; and (12) Automate system maintenance, monitoring and notification using Bash Shell and Python scripts.
Minimum 1 year of experience in the same or a closely related position such as software developer, or systems/programmer analyst.
Masters degree (or the equivalent) in Computer Science/Engineering, Information Technology, or a closely related field

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