Middle Infrastructure Engineer (ML/AI) Lisboa

Responsibilities

What does our ML/AI team do? The team supported a Generative AI solution for automation and integration.

Our Team consists of international Sr-level professionals from all over the globe, experienced in building
- performing, scalable,
- grade applications. A unique team of multinational professionals with integration, cloud, and consumer experience.

We are currently seeking a promising Middle Infrastructure Engineer with experience in the AI domain.

As a Middle Infrastructure Engineer, you will be responsible for deploying, scaling, and maintaining services for the ML/AI team. You will closely work with ML Engineers and Data Scientists as part of a small, flexible team and will have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions.

Requirements

Qualifications / Experience / Technical Skills

BS/MS degree in Computer Science, Engineering or a related subject (or equivalent experience)

3-5 years professional experience in
- on engineering roles (Dev
Ops/SRE)

6+ months of experience with hosting AI models (ML flow, AWS Sage
Maker, Azure AI, Kubernetes) is preferred

6+ months of experience with ML Ops (ML flow, vector databases (Qdrant), Dagster) is preferred

Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service)

Soft Skills / Personal Characteristics

Readiness to communicate in English with your colleagues