Soris is a stealth technology company building a full-stack AI platform from the ground up to reimagine and improve one of the largest and most entrenched industries on the planet, creating a faster, fairer, and fundamentally better model for humanity.
Requirements
- 4+ years of experience in machine learning or data engineering.
- Strong skills in Python or R and frameworks like PyTorch or TensorFlow.
- Experience with serving models for inference (FastAPI)
- Experience with AWS (EKS, S3, SageMaker, Lambda, EKS, CloudWatch).
- Understanding of MLOps, feature stores, and model registries.
- Familiar with CI/CD, containerization, and monitoring tools.
- Experience with large language models or agentic systems.
Responsibilities
- Build and deploy highly accurate machine learning models into production.
- Collaborate with system and backend engineers to build data pipelines for training and inference.
- Develop a robust set of tools for model tracking, versioning, and monitoring.
- Optimize models and systems for speed, cost, and reliability.
Other
- Want to ship fast, iterate, and own outcomes.
- Thrive in ambiguity, asking questions and solving problems across the stack.
- Believe in building systems that are secure, transparent, and human-friendly.
- Background in early-stage startups or small, fast-moving teams.
- Competitive compensation package, including salary and equity.
