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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