MLOps Engineer – Cloud, CI/CD & Secure ML

Inetum

Porto

Presencial

EUR 40 000 - 60 000

Tempo integral

14 dias+

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Resumo da oferta

A leading IT services company in Portugal is seeking a Machine Learning Operations Engineer to join their innovative DLPP team in Porto. The ideal candidate has 5–8 years of MLOps experience, proficiency in Python, and a strong understanding of cloud platforms. This role focuses on driving innovation while ensuring security and compliance in machine learning operations. Join a collaborative environment dedicated to continuous improvement.

Qualificações

  • 5–8 years of experience in MLOps or a related field.
  • Proven ability to ensure security and data privacy compliance.
  • Hands-on experience with cloud platforms and their ML services.
  • Experience maintaining secure and reliable Data Science environments.

Responsabilidades

  • Drive innovation in machine learning operations.
  • Configure and optimise GPU instances on cloud platforms.
  • Collaborate in a proactive, pragmatic manner.

Conhecimentos

Fluent in English
MLOps experience
Python
TensorFlow
PyTorch
Scikit-learn
CI/CD pipelines
Cloud platforms (AWS, Azure, Google Cloud)
GPU management
Prometheus
Grafana
Containerisation and orchestration
Infrastructure as Code

Descrição da oferta de emprego

A leading IT services company in Portugal is seeking a Machine Learning Operations Engineer to join their innovative DLPP team in Porto. The ideal candidate has 5–8 years of MLOps experience, proficiency in Python, and a strong understanding of cloud platforms. This role focuses on driving innovation while ensuring security and compliance in machine learning operations. Join a collaborative environment dedicated to continuous improvement.
Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta e larga o ficheiro aqui.
Similar jobs

Ofertas semelhantes que vale a pena comparar

Cloud AI/ML Engineer — MLOps & Production Systems
Cloud AI/ML Engineer — MLOps & Production Systems

Devoteam • Porto

Presencial
EUR 40 000 - 70 000
Senior ML Engineer - MLOps & Distributed AI (Remote)
Senior ML Engineer - MLOps & Distributed AI (Remote)

Fut-ure Recruitment and Technology • Portugal

Híbrido
EUR 70 000 - 120 000
Competitive pay and bonus
Career development
Meal package
+2
Flexible MLOps Engineer: Build Scalable ML Pipelines
Flexible MLOps Engineer: Build Scalable ML Pipelines

Continental • Portugal

Híbrido
EUR 45 000 - 70 000
Flexible working model
Continuous personal development
Collaborative working style
LLMOps Engineer: Build & Deploy Scalable LLMs
LLMOps Engineer: Build & Deploy Scalable LLMs

InnoTech • Portugal

Presencial
EUR 40 000 - 60 000
Senior MLOps Engineer — Remote/Hybrid ML Infra & Automation
Senior MLOps Engineer — Remote/Hybrid ML Infra & Automation

TX Services • Porto

Híbrido
EUR 60 000 - 90 000
Hybrid work option
25 days annual leave
Meal allowance
+2
Remote MLOps Engineer — Build Scalable Production ML
Remote MLOps Engineer — Build Scalable Production ML

EyeSpy Recruitment - iGaming Specialists • Portugal

Presencial
EUR 70 000 - 110 000
Remote-friendly environment
Flexible working hours
New ML hub in Portugal
+3
MLOps Engineer: Build Scalable Data Pipelines & ML
MLOps Engineer: Build Scalable Data Pipelines & ML

Cleo • Portugal

Presencial
EUR 45 000 - 65 000
Competitive compensation package
Private medical insurance
Generous annual leave
+3
Remote Senior ML Engineer | MLOps & GenAI
Remote Senior ML Engineer | MLOps & GenAI

Libertex Group • Portugal

Teletrabalho
EUR 65 000 - 95 000
Quarterly bonuses
Generous relocation package
Medical insurance
+5
Distributed Cloud ML Engineer: Build Production Pipelines
Distributed Cloud ML Engineer: Build Production Pipelines

Devoteam • Porto

Presencial
EUR 40 000 - 60 000
MLOps Engineer: Scale & Deploy AI in the Cloud
MLOps Engineer: Scale & Deploy AI in the Cloud

Adentis Portugal • Lisboa

Presencial
EUR 45 000 - 75 000
Equilíbrio vida profissional e pessoal
Benefícios de saúde para colaboradores
Protocolo com parceiros
+1