Senior Platform Engineer - Nndip

buscojobs España; Tarragona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a skilled professional to lead operational management and development of their AI deployment platform. The role involves managing Kubernetes, writing Python code, and collaborating with data scientists to enhance machine learning models. Ideal candidates will have a strong educational background and expertise in MLOps practices.

Formación

• Strong experience in Kubernetes management, expertise in Seldon advantageous.
• Proficient in CI / CD, application security, and performance monitoring.
• Solid understanding of cloud services, preferably AWS.

Responsabilidades

• Lead operational management and continuous development of NNDIP.
• Install, configure, and manage key platform components.
• Write and maintain Python code for platform enhancements.

Conocimientos

Kubernetes management

Python

MLOps practices

CI / CD

Application security

Performance monitoring

FastAPI

Educación

Bachelor’s or master’s degree in computer science, Engineering, or related field

Herramientas

Seldon

Azure DevOps

ArgoCD

Terraform

Opensearch

Prometheus

Grafana

Descripción del empleo

• Lead operational management and continuous development of NNDIP, aligning with business needs for rapid AI deployment, overseeing strategic planning and execution.
• Install, configure, and manage key platform components, such as the Seldon application, Istio, Elasticsearch, Prometheus, and Grafana. Ensure seamless integration and optimal performance.
• Collaborate closely with the infrastructure team to optimize underlying resources and configurations, ensuring alignment with Seldon and associated ML workloads.
• Develop and enhance application components, contributing to the platform's evolution and extended functionalities. Monitor, troubleshoot, and resolve platform issues, while documenting operational procedures, best practices, and guidelines. Stay updated on Kubernetes and MLOps advancements for continuous innovation and improvement.
• Write and maintain Python code for platform enhancements and custom solutions, operate and maintain NNDIP in a production environment, ensuring high availability, performance, and security. Provide hands-on MLOps support to data scientists for model deployment.

Required Skills and Qualifications :

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• Strong experience in Kubernetes management, with expertise in Seldon being advantageous.
• Proficient in CI / CD, (Azure) DevOps, application security, and performance monitoring.
• Familiarity with tools like ArgoCD, Istio, Terraform, Opensearch, Prometheus, and Grafana.
• Solid grasp of Python, FastAPI, general API concepts, unit testing, etc.
• Proficiency in MLOps practices (MLFlow preferred) and experience supporting data scientists in a machine learning deployment environment.
• Solid understanding of cloud services, preferably AWS, along with experience in maintaining large-scale platforms.

To help you with the preselection process, below are the min skills

• Proficiency in Python and FastAPI.
• Experience with Kubernetes, AWS and Docker.
• Understanding of CI / CD processes and tools like ArgoCD.
• MLOps : Ability to create and manage machine learning models using Seldon and MLFlow.
• Knowledge of defensive programming, unit testing, and authorization flows.