Senior Engineer, Machine Learning/AI Ops

Responsibilities:

• Design, build, and operate AWS infrastructure for ML models, AI tools, and event-driven integrations.
• Build event-driven integrations and CDC pipelines with Salesforce and Braze for reliability and recoverability.
• Implement observability, security, and model monitoring across ML and AI systems.

Qualifications:

• 6+ years in MLOps, platform engineering, DevOps/SRE, or backend engineering with production ML workloads.
• Deep AWS expertise with Terraform, containers, CI/CD, PostgreSQL, and Python.
• Experience deploying and operating ML models, including real-time serving and versioning.

Benefits:

• Medical, dental, vision, and 401(k) with company match.
• Paid holidays, vacation, volunteer time off, and sick days.
• 12 weeks paid parental leave and additional voluntary benefits.