Machine Learning Engineer

Open Systems Technologies • Contract • Remote (California, United States, US) • 2w ago

Responsibilities:

Design, build, and deploy LLM and non-LLM based models to solve critical user-facing classifier problems.
Help internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
Build model testing/validation and other internal tools that help the team execute faster.

Required Qualifications:

At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
Proficient in Python and have a solid understanding of software development best practices for rapid development.
Experience working with Classifier problems.
Experience in Google Vertex/Gemini LLM and its capabilities.
Familiarity with image/video processing ML systems.
Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.
Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.

Bonus Points:

Experience working with Classifier problems.
Experience in Google Vertex/Gemini LLM and its capabilities.
Familiarity with image/video processing ML systems.

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