about 2 hours ago
San Francisco, CA, USAEntry Level / Mid Level
Base Salary
$197k - $197k/yr
Responsibilities
- Conduct applied research and experimentation to design, train, evaluate, and refine machine learning models.
- Develop, test, and deploy production machine learning systems managing the complete MLOps lifecycle.
- Maintain and optimize machine learning infrastructure for training, inference, and data processing workflows.
- Collaborate with business stakeholders to translate analytical requirements into quantifiable modeling objectives.
- Design, prepare, and review technical documentation to support maintainability and scalability.
- Develop AI-driven automation solutions using Large Language Models to streamline workflows.
- Design and develop internal software tools and backend services to support data quality and analytical workflows.
Requirements
- Master’s degree in data science, economics, mathematics, or computer science.
- 1 year of experience designing, training, and evaluating machine learning models using Python libraries.
- Experience using MLflow or similar platforms for experiment tracking and model versioning.
- Experience using Docker for containerization of machine learning pipelines.
- 1 year of experience orchestrating workflows using Apache Airflow.
- 1 year of experience with CI/CD tools for automating model training and deployment.
- 1 year of experience configuring cloud compute environments for data processing tasks.
- 1 year of experience developing AI-driven automation workflows using language models.
- Experience developing backend services and APIs using FastAPI, REST, or GraphQL.
- 1 year of experience working with SQL databases and cloud data platforms.