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Machine learning platform engineer (m/f) - remote (living in portugal is required)

Beja
Phiture
Anunciada dia 7 junho
Descrição

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, privileging their robustness and scalability.
More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative, and forward-looking Company.

At the moment, we are looking for the following candidate: Machine Learning Platform Engineer (m/f) - Remote (Living in Portugal is Required) Skills Required 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, general API concepts, unit testing, among others. Proficiency in MLOps practices (MLFlow preferred) and experience supporting data scientists in machine learning model deployment environments. Solid understanding of cloud services, preferably AWS, as well as experience in maintaining large-scale platforms. What we offer: A dynamic project with a well-regarded client at an international level. Salary classification according to experience. Career development with intervention in ambitious and innovative technological projects. 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 in various sectors (health, wellness, travel, gastronomy, culture, leisure, training, etc.
). Recruitment, selection, and integration process: The first contacts will be made by phone or video call.
We are prepared to support new employees during their integration and professional development.

To respond to this opportunity, please send your CV, indicating the reference VP/MLPE/C, to the following email address: ******

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