Cloud DevOps / MLOps Engineer (AWS & GCP)

Inetum2

Casablanca, Casablanca-Settat, Morocco Hybrid permanent

Posted: December 17, 2025

Required Skills

Job Description

Inetum is a European leader in digital services, with more than 27,000 employees across 19 countries and a revenue of €2.4 billion in 2024. The Group supports companies and public institutions in their digital transformation, combining performance, innovation, and social impact.

Present in Morocco for over 20 years, Inetum Morocco plays a strategic role with more than 800 team members, a shared service center, and a FabLab based in Casablanca. With €50 million in revenue in 2024, it stands as a key player in the local digital sector.

Relying on its three core business lines – Inetum Consulting, Inetum Technologies, and Inetum Solutions – and strategic partnerships with Microsoft, SAP, and Sage, Inetum Morocco also stands out with the Feel Good 2025 label, reflecting its commitment to employee well-being, inclusion, and skills development.

The company culture is built on the Inetum Way, a value system based on proximity, agility, innovation, and responsibility. Joining Inetum means living your digital impact in a dynamic, people-centered, and future-oriented environment.

🎯 Position Objective

Ensure the industrialization, automation, and reliability of data science pipelines in a hybrid AWS/GCP cloud environment.

🛠️ Main Responsibilities

🔹 DevOps

• Design and maintain CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins).

• Manage infrastructure using Terraform.

• Deploy and monitor containerized applications (Docker, Kubernetes, Helm).

• Implement monitoring solutions (Prometheus, Grafana, CloudWatch, Stackdriver).

• Secure cloud environments (IAM, KMS, secret management).

🔹 MLOps

• Develop and orchestrate ML & AI pipelines (Airflow, Vertex AI Pipelines, etc.).

• Deploy models to production (Vertex AI Endpoints).

• Collaborate with data scientists to automate the model lifecycle.

🧰 Technical Environment

• Cloud: AWS (S3, SageMaker, EKS), GCP (BigQuery, Vertex AI, GKE)

• IaC: Terraform

• SaaS: Snowflake

• PaaS: Dataiku

• CI/CD: GitLab CI, GitHub Actions

• Containers: Docker, Kubernetes

• Languages: Python, Bash, YAML

• Monitoring: Prometheus, Grafana, CloudWatch, Stackdriver

• ML Tools: Airflow, Kubeflow, Vertex AI, SageMaker

• Proven experience in DevOps and/or MLOps.

• Strong expertise in AWS and GCP cloud environments.

• Knowledge of cloud security best practices.

• Ability to collaborate effectively with developers, data engineers, and data scientists.

• Strong automation mindset, rigor, and focus on observability.

• Proficient in spoken English.

Why Join Us?

• A collaborative and supportive team.

• High-impact projects for a client who is a leader in their field.

• A stimulating environment where your expertise will be recognized and valued.

Are you ready to take on this challenge? Send us your application

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