Senior ML Engineer - Content and Contributor Intelligence (Remote - United Kingdom)

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Requirements:

• Experience developing and productionizing machine learning models, including their supported data pipeline.
• Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
• Strong coding skills in Python or equivalent (Python, Java and C++).
• Solid understanding of engineering and infrastructure best practices.

Responsibilities:

• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
• Work with large and complex datasets.
• Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
• Work in the content and contributor intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
• Productionize and automate model pipelines within Python services.
• Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).