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Responsibilities:
- Experiment with emerging technologies and contribute to building new models and systems.
- Implement prototypes in Python and deliver solutions to production.
- Partner with the platform engineering team to streamline MLOps workflows.
What We Look For:
- You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks.
- You want to be part of a small team inside a large company with massive growth opportunity.
- You eagerly dig into complex engineering problems.
Qualifications:
- Hands-on experience implementing production machine learning systems at scale.
- Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn.
- Familiarity with ML tools like MLFlow, Ray Serving, and building data pipelines.
Verve
Verve creates a more efficient and privacy-focused way to buy and monetize advertising by fusing data, media, and technology. With 30 offices globally, they serve top advertisers and publishers and foster a collaborative, fun culture.