# Senior ML Ops Engineer

Hiring organization: [Confido](https://career.thegoodapps.co/organizations/confido)

Canonical page: https://career.thegoodapps.co/jobs/dee3e002-a73e-4b75-a4fb-8a03559556fe

Listed on Confido's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: New York, NY
- Salary: 210000 – 300000 USD per year

## Summary

Own the ML infrastructure layer at Confido, building the pipelines, serving systems, and cloud foundation that turn AI models into reliable, cost-efficient production systems at scale. This role suits someone who thrives at the intersection of software engineering and infrastructure, ready to give an AI/ML team a smooth path from research to production in a fast-growing startup.

_Our summary, not Confido's wording._

## Skills named

Amazon Web Services (AWS), Apache Airflow, Apache Kafka, BentoML, CI/CD, Docker, GitHub Actions, Infrastructure as Code, Kubernetes, MLflow, Python, Ruby, Snowflake, Terraform, V-Ray, Vector Databases

## Required

- 5+ years in MLOps, ML platform, AI infrastructure, or platform engineering on production systems
- Strong Python and production application experience
- Deep cloud infrastructure understanding and distributed data systems
- Infrastructure as Code and CI/CD expertise
- Ability to run containerized workloads in production
- Experience productionizing AI/ML research systems end to end
- High ownership mentality in a startup environment

## Nice to have

- LLMOps tooling experience (tracing, prompt management, eval frameworks)
- Inference optimization knowledge (vLLM, ONNX, TensorRT)
- Familiarity with ML orchestration platforms (MLflow, BentoML, Ray, Airflow)
- Large-scale data systems experience (Snowflake, Kafka)
- Vector database experience
- Managed ML services experience (Bedrock, SageMaker, Vertex AI)
- Multimodal or generative AI production experience

Apply on Confido's site: https://jobs.ashbyhq.com/confido/c77fe2ec-51d1-47ea-b616-b4e477a13696/application