Senior Machine Learning Engineer - Remote

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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.