Data Extraction Expert: Architecting Scalable Machine Learning Solutions
3 semanas atrás
As a Senior Machine Learning Engineer at Zyte, you will drive innovation in web data extraction by developing and implementing machine learning technologies that scale and optimize data extraction. Your primary responsibility is to lead cutting-edge projects involving research and production-level development.
Key Responsibilities
- Design, develop, and deploy machine learning models and algorithms for web data extraction and processing.
- Collaborate with domain experts, cross-functional teams, and stakeholders to identify data requirements and guide experimentation.
- Collect, clean, preprocess, and explore data to enable high-quality model training.
- Suggest and conduct experiments to improve existing models and systems.
- Implement machine learning model improvements in production, optimizing codebases and enhancing tooling.
Requirements and Qualifications
We seek an experienced professional with:
- A deep understanding of machine learning algorithms and deep learning models (e.g., CNN, RNN, Transformers).
- Experience working with large language models (LLMs) and applying them in production environments.
- Knowledge of data preprocessing, feature engineering, and model tuning.
- Expertise in Python and machine learning libraries (e.g., PyTorch).
- Strong understanding of software design principles and high-level code organization.
Benefits
At Zyte, you will have the opportunity to work on complex challenges in web data extraction at scale, contributing to the success of our platform and customers. As a new team member, you will enjoy:
- A dynamic, collaborative environment where your expertise makes a direct impact.
- The freedom and flexibility to work from anywhere you are most productive.
- The chance to work with cutting-edge open-source technologies and tools.
Estimated annual salary: $145,000 - $185,000
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