Job Qualifications:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering,
Physics, Applied Mathematics, Computer Science, or a related
quantitative discipline.
5+ years of hands-on experience in developing and deploying
machine learning, signal processing, or algorithmic solutions, with
emphasis on raw or low-level data (e.g., sensor data, audio,
video streams, or medical imaging).
? Proven expertise in time-series analysis and handling large-scale,
complex datasets from acquisition to production deployment.
? Strong Python programming skills, with the ability to write clean,
modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into
production environments, ideally in high-availability systems.
? Familiarity with ML/DL frameworks such as PyTorch, TensorFlow,
scikit-learn, and gradient-boosting libraries (e.g., XGBoost,
LightGBM).
? Strong collaboration and communication skills, with the ability to
work effectively across interdisciplinary teams including software
engineers, physicists, and external stakeholders.
Years of Experience:
6+ years