Senior Machine Learning Engineer
July 31, 2024
Programming & Tech
Freelance
Remote
640 to 1600 USD
Senior level
Git
ONNX
Python
Pytorch
Rust
English intermediate
Senior Machine Learning Engineer Position We are seeking a highly skilled Senior Machine Learning Engineer to join our team for a project-based role. The primary objective of this project is to optimize several existing machine learning models that analyze voice data to generate soft skills. This project will involve enhancing model performance, improving accuracy, and ensuring seamless integration and deployment. Key Responsibilities Retraining a Model (PyTorch): Enhance the current models by retraining them using PyTorch to improve performance and accuracy. Exporting as an ONNX: Convert the optimized PyTorch models to the ONNX format for easier deployment and integration. Creating a Feature Extraction Server: Develop a feature extraction server using either FastAPI or Rust with Axum to streamline the process of extracting features from voice data. Achieve Over 70% Accuracy: Ensure the optimized models achieve a minimum accuracy of 70% in generating soft skills from voice data. Label Data: Organize and label existing data to improve the quality of the training datasets. Get New Datasets: Source and integrate new datasets to further enhance the model's performance and accuracy. Require Label Effort in an Effective Manner: Implement efficient labeling strategies to maximize the effectiveness of the dataset. Requirements Passion for Code: We are enthusiasts who have a deep love for the art of programming and a commitment to high-quality code, and we’re excited to find someone who shares our passion. Strong Proficiency in PyTorch: Extensive experience in developing, training, and optimizing machine learning models using PyTorch Experience with ONNX: Demonstrated ability to export models to the ONNX format. Server Development: Proficiency in developing feature extraction servers using FastAPI or Rust with Axum. Data Management: Expertise in organizing, labeling, and managing large datasets. Accuracy Optimization: Proven track record of optimizing models to achieve high accuracy, preferably over 70%.
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