Machine Learning Researcher
2 weeks ago
Required Expertise:
- Educational Background: A doctorate in Computer Science, Machine Learning, AI, or a closely related discipline.
- Research Contributions: Demonstrated through relevant publications.
- Framework Proficiency: Hands-on experience with leading machine learning libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
- Data Handling Experience: Skilled in working with high-frequency signal and waveform data.
- Data Specialization: Expertise in handling time-series data, high-frequency datasets, predictive modeling, and dealing with imbalanced data.
- Programming Mastery: Extensive knowledge of Python.
- Collaborative Experience: Proven ability to work and contribute effectively within team projects.
- Autonomous Delivery: Capability to deliver results with minimal supervision, especially on unstructured problems.
- Professional Experience: Over five years of programming experience.
Desired Skills:
- Healthcare Data Proficiency: Experience with medical data, including electronic health records and biosensor/signal data (ecg, ppg, eeg).
- Real-time Systems: Background in environments requiring real-time responses and model implementation.
- Cloud and Distributed Systems: Familiarity with major cloud platforms and distributed systems.
- Software Engineering Interest: A keen interest in software engineering, particularly in building and managing data pipelines.
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