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Benefits offered by this job
Competitive salary range of $220,000 - $240,000
Equity plan participation
Flexible work environment
Job summary
A leading blockchain intelligence firm is looking for a Staff MLOps Engineer to build and scale technical infrastructure for AI/ML systems. The ideal candidate will develop reusable CI/CD workflows and automate model versioning and compliance. Strong experience in Python, scalable infrastructure, and ML Ops best practices is essential. This position is critical for ensuring data accuracy and reliability in AI applications, contributing to our mission of building a safer world.
Qualifications
Strong background in software development primarily in Python.
Experience with containerizing applications using Docker and Kubernetes.
Implement ML Ops best practices for model versioning and evaluation.
Responsibilities
Build reusable CI/CD workflows for model training and deployment.
Automate model versioning and compliance checks across environments.
Ensure data accuracy and reliability for model training.
Skills
High-quality software development
Scalable infrastructure
ML Ops best practices
Containerization
Infrastructure-as-code
Monitoring frameworks
Tools
Python
Docker
Kubernetes
Terraform
Datadog
Prometheus
Job description
A leading blockchain intelligence firm is looking for a Staff MLOps Engineer to build and scale technical infrastructure for AI/ML systems. The ideal candidate will develop reusable CI/CD workflows and automate model versioning and compliance. Strong experience in Python, scalable infrastructure, and ML Ops best practices is essential. This position is critical for ensuring data accuracy and reliability in AI applications, contributing to our mission of building a safer world.