Senior MLOps Engineer: Production-Ready, Cloud & FinOps

Systems Limited; Islamabad; On-site; PKR 2,400,000 - 4,200,000; Full time

Job summary

Systems Limited is seeking an experienced MLOps/ML Platform Engineer to own end-to-end production of ML models, including deployment, monitoring, and optimization at scale in cloud environments.

You will lead CI/CD pipelines, manage IaC, and collaborate with data scientists to build scalable, production-ready systems while driving cost efficiency and incident response through FinOps practices.

Qualifications

• 6+ years in MLOps or ML Platform Engineering with production ownership.
• Strong CI/CD, containerization, cloud infra and ML observability expertise.
• Deep understanding of ML lifecycle: retraining, versioning, drift detection.
• IaC and automated deployment pipelines experience.
• Cloud platforms AWS/Azure/GCP knowledge.
• Cloud cost monitoring, optimization and FinOps practices.
• Monitoring, alerting, SLA management, and incident response expertise.
• Ability to troubleshoot and communicate incidents to stakeholders.
• Strong collaboration and mentoring skills.

Responsibilities

• Own production serving, CI/CD, deployment, and monitoring of ML models.
• Build and maintain model retraining, versioning, and deployment pipelines.
• Manage ML infrastructure and optimize cloud costs through FinOps practices.
• Implement observability, alerting, drift detection, and performance monitoring.
• Own production incident response, troubleshooting, and on-call responsibilities.
• Collaborate with Data Scientists and ML Engineers to design scalable systems.
• Support presales and PoCs by demonstrating production readiness.
• Mentor engineers on MLOps and production-readiness best practices.
• Communicate infra cost, performance, and reliability trade-offs to stakeholders.

Skills

CI/CD

Containerization

Cloud infrastructure

ML observability

Model lifecycle management

Infrastructure as Code

Monitoring & alerting

FinOps / cost optimization

On-call readiness

Mentoring & collaboration

Job description

Systems Limited is seeking an experienced MLOps/ML Platform Engineer to own end-to-end production of ML models, including deployment, monitoring, and optimization at scale in cloud environments.

You will lead CI/CD pipelines, manage IaC, and collaborate with data scientists to build scalable, production-ready systems while driving cost efficiency and incident response through FinOps practices.