Machine Learning Operations Engineer

Inetum; Viseu; Presencial; EUR 55 000 - 85 000; Tempo integral

Resumo da oferta

Inetum in Porto is seeking a Mid-Senior Machine Learning Operations Engineer to join the DLPP team. The role requires 5–8 years in MLOps, strong Python skills, and hands-on work with TensorFlow, PyTorch or Scikit-learn. You will implement CI/CD, ensure data security and privacy, and optimize cloud ML services on AWS/Azure/Google Cloud.

The ideal candidate is proactive, analytical, and collaborative. The position emphasizes collaboration, continuous improvement, and delivering reliable ML

Qualificações

• 5–8 years of experience in MLOps or a related field.
• Proven ability to ensure security and data privacy compliance across all MLOps activities.
• Strong proficiency in Python and hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of CI/CD pipelines, automation tools, and version control systems (e.g., Git).
• Experience maintaining secure and reliable Data Science environments (vulnerabilities, obsolescence...).
• Hands-on experience with cloud platforms AWS, Azure, or Google Cloud and their ML services.
• Knowledge of GPU usage and management, including configuring and optimising GPU instances on cloud platforms and managing GPU drivers/libraries (CUDA, Nvidia).
• Strong analytical and organisational skills; proactive, pragmatic, curious, and autonomous approach to work.
• Excellent team spirit and interpersonal skills.
• Experience with Prometheus and Grafana for metrics and monitoring.
• Familiarity with containerisation and orchestration technologies.
• Knowledge of Infrastructure as Code and automation practices.

Conhecimentos

Python

TensorFlow

PyTorch

Scikit-learn

CI/CD

Git

MLOps

Data privacy

AWS

Azure

Google Cloud

GPU management

Prometheus

Grafana

Containers

Kubernetes

Infrastructure as Code

Ferramentas

Docker

Kubernetes

Prometheus

Grafana

CI/CD tools

Descrição da oferta de emprego

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Inetum We're Hiring: Machine Learning Operations Engineer Are you an experienced MLOps professional fluent in English and ready to take on a new challenge in a collaborative and forward-thinking environment? Join our client's DLPP team in Porto and help drive innovation in machine learning operations! Fluent in English

(spoken and written) 5–8 years of experience

in MLOps or a related field Proven ability to ensure

security and data privacy compliance

across all MLOps activities Strong proficiency in

Python

and hands-on experience with

TensorFlow, PyTorch, or Scikit-learn Solid understanding of

CI/CD pipelines, automation tools, and

version control systems

(e.G., Git) Experience maintaining

secure and reliable Data Science environments

(vulnerabilities, obsolescence...) Hands-on experience with

such as AWS, Azure, or Google Cloud and their ML services Knowledge of

GPU usage and management, including: Configuring and optimising GPU instances on cloud platforms Managing GPU drivers and libraries (e.G., CUDA, Nvidia) Strong

analytical and organisational skills A

proactive, pragmatic, curious, and autonomous

approach to work Excellent

team spirit

and interpersonal skills Experience with

Prometheus and Grafana

for metrics and monitoring Familiarity with

containerisation and orchestration technologies Knowledge of

Infrastructure as Code

and automation practices If you're ready to bring your expertise to a team that values innovation, collaboration, and continuous improvement — and join us in beautiful Porto! Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting

Machine Learning Operations Engineer Portuguese Republic, PT