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Senior Machine Learning Engineer - Remote

Posted 3 months agoViewed

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📍 Location: Portugal

🔍 Industry: Web data extraction

🏢 Company: Zyte👥 251-500💰 $3,000,000 Debt Financing about 3 years agoBig DataCloud ComputingSaaSPaaSData MiningSoftware

🪄 Skills: DockerPythonGitHTMLJavascriptKubernetesMachine LearningPyTorchC++AlgorithmsData StructuresCI/CD

Requirements:
  • 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.
Responsibilities:
  • 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.
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