Senior Python Engineer – ML Infrastructure
We’re partnered with a fully remote, rapidly growing AI startup building large-scale ML systems — and they’re looking for a Senior Python Engineer to join their team and help power high-performance inference and backend infrastructure.
What they’re looking for:
- Strong Python development experience, especially with FastAPI and the ASGI ecosystem for building fast, scalable API
- Hands-on knowledge of event-driven systems, including pub/sub messaging and distributed task queues (e.g., Celery)
- Understanding of model serving patterns (REST, gRPC, async batching) and experience managing large-scale inference pipelines in production
- Familiarity with SQL/NoSQL databases, and integrating with cloud platforms like Snowflake or Databricks
- Experience with state management, session handling, and efficient data flows across distributed applications
- Bonus if you’ve worked with the Kubernetes ecosystem for scalable ML deployment
- Experience with monitoring, logging, and observability in production systems
- Understanding of authentication protocols and security best practices
- Exposure to data visualization tools for presenting model outputs
- Previous experience supporting tabular ML models or similar ML deployments