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Senior Machine Learning Engineer
2 meses atrás
At Zyte, we empower businesses to extract the data they need to make informed decisions. Our global team of experts spans the world, driven by the mission to simplify data extraction. Open source is at the core of what we do, from our contributions to projects like Scrapy to the development of our own powerful tools.
About the RoleAs a Senior Machine Learning Scientist at Zyte, your primary role is to drive the development and implementation of machine learning technologies that scale and optimize web data extraction.
Key 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), and apply innovative techniques to real-world problems.
- Provide mentorship and guidance to junior team members, promoting best practices in machine learning and software engineering.
High-performance machine learning models with accurate predictions, contributing to the quality and scale of web data extraction. Scalable and efficient production-level implementations of machine learning features. Innovations in model architecture, deep learning, and LLM applications that enhance Zyte's platform.
Required Skills and Experience:- Deep understanding of machine learning algorithms and deep learning models.
- 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.
- Knowledge of data structures, algorithms, and performance optimization techniques.
- Experience with git, CI/CD workflows, and containerization technologies.
At Zyte, you will be at the forefront of machine learning innovation, with the opportunity to solve complex challenges in web data extraction at scale. Join a dynamic, collaborative environment where your expertise will directly impact the success of our platform and our customers.
