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DevOps / MLOps Engineer at Datamatics Technologies

Islamabad, Islamabad Capital Territory, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, MLOps, CI/CD, Jenkins, Kubernetes, Automation, Scripting, Terraform, Ansible, Bash, Python, Docker, Monitoring, Logging, Alerting, Cloud

Industry

IT Services and IT Consulting

Description

Job Title: DevOps / MLOps Engineer Experience: 7–9 Years Location: Remote Job Summary We are seeking a skilled DevOps Engineer with hands-on MLOps experience to design, automate, and manage scalable infrastructure and CI/CD pipelines for cloud-native and machine learning workloads. The role requires strong expertise in automation, container orchestration, and continuous delivery, with a focus on reliability, performance, and scalability. Key Responsibilities Design, build, and maintain CI/CD pipelines using Jenkins and automation tools Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining Deploy, manage, and scale containerized applications using Kubernetes Automate infrastructure provisioning and configuration using IaC tools Manage cloud infrastructure and services on Google Cloud Platform (GCP) Ensure high availability, security, and performance of platforms and pipelines Collaborate with data scientists and engineers to productionize ML models Monitor systems, optimize costs, and troubleshoot production issues Required Skills & Experience Strong experience as a DevOps Engineer with exposure to MLOps practices Hands-on expertise with Kubernetes (deployment, scaling, networking) Strong experience with Jenkins for CI/CD automation Experience with automation and scripting tools (Terraform, Ansible, Bash, Python, etc.) Strong understanding of containerization (Docker) and microservices architecture Experience with monitoring, logging, and alerting solutions Nice to Have Experience with ML platforms such as Kubeflow, Vertex AI, or MLflow Knowledge of GitOps tools (ArgoCD, Flux) Experience with security, IAM, and compliance in cloud environments

Responsibilities

The role involves designing, building, and maintaining CI/CD pipelines and MLOps pipelines for model training and deployment. Additionally, the engineer will collaborate with data scientists to productionize ML models and ensure the reliability and performance of platforms.