Machine Learning Platform Engineer (M/F) - Remote (Living In Portugal Is Required)
Join to apply for the Machine Learning Platform Engineer (M/F) - Remote (Living In Portugal Is Required) role at Sysmatch.
Job Details
Location: Remote (Living in Portugal is required)
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
About Sysmatch
Sysmatch is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, prioritizing their robustness and scalability. With over two decades in the IT market, we are a flexible, adaptable, innovative, and forward-looking company.
Candidate Profile
* Bachelor's or Master's degree in Computer Science, Engineering, or related field
* Solid experience in Kubernetes management, with knowledge of Seldon being an advantage
* Expertise in CI/CD, (Azure) DevOps, application security, and performance monitoring
* Familiarity with tools such as ArgoCD, Istio, Terraform, Opensearch, Prometheus, and Grafana
* Good knowledge of Python, FastAPI, API concepts, unit testing, among others
* Proficiency in MLOps practices (MLFlow preferred) and supporting data scientists in model deployment environments
* Solid understanding of cloud services, preferably AWS, and experience maintaining large-scale platforms
What We Offer
* A dynamic project with a well-regarded international client
* Salary classification according to experience
* Career development in ambitious and innovative technological projects
* Good working environment with young and dynamic teams
* Personalized follow-up for each consultant
* Integration into Sysmatch staff with access to all company activities
* Participation in trainings and team-building events
* Access to a network of partnerships offering exclusive discounts in health, wellness, travel, gastronomy, culture, leisure, and training
Application Process
Initial contacts will be made via phone or video call. We support new employees through monitoring and integration to ensure a smooth transition into their new role. To apply, please send your CV indicating reference VP/MLPE/C to the provided email address.
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