Job Description
We're looking for a Senior Data Scientist with strong expertise in Bayesian modeling, solid backend engineering skills, and experience deploying real-world ML solutions. This is a high-impact role focused on building a Bayesian-as-a-Service platform to be applied in industries like music, gaming, media, and consumer goods.
You'll work closely with a founding team to design, develop, and deploy scalable probabilistic models, combining applied statistics, Python backend development, and MLOps best practices.
What you'll do:
- Design and implement Bayesian models with hierarchical priors and uncertainty quantification.
- Translate models into scalable APIs using Flask or FastAPI.
- Build and maintain ML infrastructure on AWS (Lambda, S3, EC2, SageMaker, API Gateway, CloudWatch, etc.).
- Optimize GPU-accelerated inference and ensure production-level performance.
- Manage CI/CD pipelines and version control workflows on GitHub...
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