Machine Learning Engineer
Core
Architecting highly reliable, deterministic software systems and MLOps pipelines to run complex AI simulations at scale.
Role type
Senior Machine Learning Engineer (MLOps & Backend)
Builds
Production-grade simulation platforms, MLOps infrastructure, and monitoring dashboards.
Domain
AI/ML infrastructure, Cloud Systems, Simulation Engineering
Deliverable
production ML models | infrastructure | product features
Required skills
Python, FastAPI, AWS, Docker, Kubernetes, CI/CD, SQL, NoSQL, React/Next.js, Automated Testing, MLOps
Preferred skills
LLM/NLP experience, Test-Driven Development (TDD), Synthetic data generation
Technologies
Python, FastAPI, AWS, Docker, Kubernetes, Jenkins, GitHub Actions, React, Next.js, SQL, NoSQL
Responsibilities
Design and maintain high-performance backend systems; Build and optimize MLOps pipelines for model evaluation and synthetic data; Develop responsive web interfaces for simulation monitoring; Manage and optimize SQL and NoSQL databases; Collaborate with research teams to deploy and scale NLP/LLM applications.
Seniority
Senior, hands-on IC