обновлено 13 дней назад
DevOps Engineer - Senior Vice President (MLOps/AI)
180 000 - 230 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer - Senior Vice President (MLOps/AI): Building and operating scalable AWS-based MLOps platforms and CI/CD infrastructure for machine-learning and generative AI workloads with an accent on Kubernetes, Terraform, model lifecycle automation, observability, and governance. Focus on operationalizing production models, monitoring performance and drift, securing regulated workloads, and optimizing compute costs.
Location: New York, New York, United States; office work Monday–Thursday with remote work available on Friday
Salary: $180,000–$230,000 per year, depending on experience
Company
operates in the fintech sector and provides a platform infrastructure environment supporting application and machine-learning workloads.
What you will do
- Design, build, and operate MLOps pipelines across training, validation, deployment, and monitoring.
- Enable production workloads for AI, machine learning, generative AI, and LLM-based services.
- Develop CI/CD pipelines and cloud-native infrastructure on AWS using Kubernetes and containers.
- Automate infrastructure provisioning with Terraform and implement model versioning, experiment tracking, and artifact management.
- Build observability, monitoring, alerting, security, compliance, and governance capabilities for AI platforms.
- Partner with engineering, security, data, business, and AI/ML teams on incident response, root cause analysis, standards, and reference architectures.
Requirements
- 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as the primary cloud.
- Production experience supporting machine-learning systems and hands-on experience with AWS SageMaker.
- Strong experience with Kubernetes, containers, cloud networking, CI/CD pipelines, and tools such as GitLab CI or ArgoCD.
- Proficiency with Terraform, Python or similar scripting languages, Linux, systems administration, and troubleshooting.
- Experience with MLOps platforms and tooling, including model registries, experiment tracking, feature stores, and ML data stores.
- Experience with generative AI or LLM workloads, regulated or fintech environments, cost optimization, and cross-functional communication.
Nice to have
- AWS certifications.
Culture & Benefits
- Hybrid work schedule with office attendance Monday–Thursday and remote work on Friday.
- Equity for all full-time employees and an annual performance bonus.
- Employer-matched retirement plan and subsidized healthcare.
- Employer-paid dental, vision, telemedicine, and virtual mental health counseling.
- Parental leave and unlimited paid time off.
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