C
$210,000 – $300,000
Listed on Confido’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Be the founding owner of the ML platform that turns Confido's AI models and agents into reliable, cost-efficient production systems handling hundreds of thousands of documents. You'll own the end-to-end pipelines, cloud infrastructure, and serving layer that lets the AI team ship fast while managing heavy LLM workloads at scale.
Our summary, not Confido’s wording. The full posting is on their site.
Skills this role names
- Amazon Aurora
- Amazon Bedrock
- Amazon RDS
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Kafka
- BentoML
- GitHub Actions
- Kubernetes
- MLflow
- Python
- Redis
- Ruby
- Snowflake
- Terraform
- V-Ray
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What they ask for
Required
- 5+ years in MLOps, ML platform, AI infrastructure, or platform engineering on production systems
- Production code and cloud infrastructure expertise equally
- End-to-end pipeline architecture and design experience with ability to discuss trade-offs
- Deep cloud infrastructure, distributed data systems, and Infrastructure as Code knowledge
- Strong Python and production application codebase proficiency in Ruby or Java
- Monitoring, security, and cost optimization as core instincts
- High ownership mentality in a fast-moving startup
Nice to have
- LLMOps tooling experience with tracing and prompt management
- Inference optimization with vLLM, ONNX, or TensorRT
- ML platform and orchestration tools like MLflow, BentoML, Ray, or Airflow
- Large-scale data systems such as Snowflake or Kafka
- Vector database experience
- Managed ML services like Bedrock, SageMaker, or Vertex AI
- Production experience with multimodal or generative AI