Company 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.
Job Description
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
Qualifications
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.
Additional Information
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
