SVP, Lead AI/MLOps Infrastructure Engineer - Full Time - Hybrid

SVP, MLOps / DevOps Engineer – Permanent – Hybrid
We’re partnering with our client, a fast-growing fintech firm, on a senior-level MLOps-focused hire to help build and scale the infrastructure behind their AI and machine learning platforms.
This is a highly visible, hands-on role where you’ll sit at the intersection of engineering, data, and cloud; helping bring AI/ML models into production in a secure, scalable, and automated way.
The priority here is MLOps first, supported by strong DevOps experience across AWS, Kubernetes (EKS), and GitLab CI/CD.

What You’ll Be Doing

• Build and scale MLOps pipelines across the full model lifecycle
• Help productionize AI/ML and GenAI (LLM) workloads
• Design and manage cloud infrastructure in AWS, leveraging Kubernetes (EKS)
• Develop and improve CI/CD pipelines (GitLab) for ML and platform services
• Partner closely with ML engineers to bring models into production
• Drive automation, reliability, and performance across the platform
• Implement monitoring, governance, and security for AI workloads

What They’re Looking For

• 15+ years of experience in MLOps, DevOps, or platform engineering
• Strong, hands-on MLOps experience in production environments (key priority)
• Deep experience with AWS (SageMaker preferred)
• Expertise with Kubernetes/EKS and containerized environments
• Experience building CI/CD pipelines using GitLab
• Strong scripting skills (Python or similar) and Infrastructure as Code (Terraform)
• Exposure to Generative AI / LLMs is a big plus
• Comfortable working cross-functionally in a fast-paced environment

Why This Role

• Opportunity to shape and scale AI infrastructure at a growing fintech
• High-impact, high-visibility role working across teams
• Strong compensation: $180K–$230K base + bonus + equity
• Hybrid model: 4 days onsite / 1 day remote (NYC area)

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