Company
Technology
FoundingAI/MLEngineer
“Founding AI/ML Engineer. Skills: AI infrastructure, MLOps, Customer deployment. Debug and troubleshoot deployment challenges. Troubleshoot integration challenges”
Industry & Context.
Solve complex deployment challenges
Occasional evening collaboration calls
What They're Looking For.
Must Have
3–8 years professional experience, Software engineering background, Distributed Systems experience, Kubernetes experience, APIs experience, Platform Engineering experience, Enterprise Integrations experience, Infrastructure Engineering or DevOps experience, Customer-facing deployment or implementation experience, Ability to communicate effectively, Scripting and coding skills, Ability to independently navigate complex environments, Comfortable working in East Coast U. S. time zones, Available for occasional evening meetings
Nice to Have
Experience deploying enterprise AI, ML, or Generative AI solutions, Exposure to AI governance, observability, evaluation frameworks, or model monitoring, Experience working within regulated industries, Startup experience, Demonstrated ability to thrive in fast-paced environments, Experience managing multiple customer deployments simultaneously
What You'll Do.
Debug and troubleshoot deployment challenges
Troubleshoot integration challenges
Work directly with customer teams
Operationalize AI systems
Design integrations across AI workflows
Integrate across enterprise AI APIs
Integrate across infrastructure
Integrate across governance platforms
Deploy AI evaluation frameworks
Deploy observability solutions
Deploy guardrail implementations
Translate deployment challenges into feedback
Partner with engineering stakeholders
Partner with infrastructure stakeholders
Partner with security stakeholders
Partner with risk stakeholders
Partner with compliance stakeholders
Partner with operations stakeholders
Navigate enterprise governance requirements
Drive customer adoption of AI solutions
Balance technical requirements
Balance business requirements
How You'll Work.
Team & Collaboration
Customer engineering teams; Platform teams; Product teams; Engineering teams; Infrastructure stakeholders; Security stakeholders; Risk stakeholders; Compliance stakeholders; Operations stakeholders
Communication Scope
Communicate effectively with teams
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