Job Title: Data Science Infrastructure Specialist
About the Role
We are seeking an experienced Data Science Infrastructure Specialist to join our team. As a key member of our data science organization, you will be responsible for designing, building, and maintaining large-scale data platforms that support machine learning model deployment.
Key Responsibilities
* Design and implement scalable data platforms using Kubernetes, Docker, and cloud services.
* Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines using tools such as ArgoCD, Azure DevOps, and Terraform.
* Collaborate with data scientists to deploy machine learning models into production environments.
* Ensure application security, performance monitoring, and scalability.
* Maintain knowledge of emerging technologies and trends in data science infrastructure.
Requirements
* Bachelor's or Master's degree in Computer Science, Engineering, or related field.
* Solid experience in Kubernetes management and cloud services, preferably AWS.
* Expertise in CI/CD, application security, and performance monitoring.
* Familiarity with tools such as Python, FastAPI, and MLOps practices.
* Good communication and collaboration skills.
Benefits
* A dynamic project with a well-regarded international client.
* Career development through involvement in ambitious and innovative technological projects.
* A good working environment with young and dynamic teams.
* Personalized follow-up to each consultant.
* Integration into Sysmatch staff with access to all company activities.
* Participation in trainings and team-building events.
* A network of partnerships offering exclusive discounts.
What We Offer
We offer a competitive salary classification according to experience and a chance to work on a challenging project with a well-known client. Our team is passionate about delivering high-quality solutions and providing excellent customer service. If you are a motivated and talented individual who enjoys working in a collaborative environment, we encourage you to apply for this role.
How to Apply
To respond to this opportunity, please send your CV indicating the reference VP/DISI/C to the following email address: [email address].