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🔍 Web data extraction
🏢 Company: Zyte👥 251-500💰 $3,000,000 Debt Financing almost 3 years agoBig DataCloud ComputingSaaSPaaSData MiningSoftware
- 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.
- Knowledge of data preprocessing, feature engineering, and model tuning.
- Experience in deploying machine learning models at scale in production environments.
- Strong expertise in Python and machine learning libraries (e.g., PyTorch).
- Knowledge of data structures, algorithms, and performance optimization techniques.
- Experience with git, CI/CD workflows, and containerization technologies (e.g., Docker, Kubernetes).
- Strong understanding of software design principles and high-level code organization.
- Lead the design, development, and deployment of machine learning models and algorithms for web data extraction and processing.
- Collaborate closely with domain experts, cross-functional teams, and stakeholders to identify data requirements, define hypotheses, and guide experimentation.
- Perform data collection, cleaning, preprocessing, and exploration to enable high-quality model training.
- Suggest and conduct experiments aimed at improving the accuracy and efficiency of existing models and systems.
- Implement machine learning model improvements in production, optimizing codebases, and enhancing tooling.
- Stay at the forefront of machine learning research, particularly in deep learning and large language models (LLMs).
- Provide mentorship and guidance to junior team members, promoting best practices in machine learning and software engineering.
- Contribute to the community through publications, talks, and open-source contributions.
DockerPythonGitHTMLJavascriptKubernetesMachine LearningPyTorchC++AlgorithmsData StructuresCI/CDJavaScript
Posted about 2 months ago
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