Machine Learning Operations Engineer

Inetum; Porto; Presencial; EUR 40 000 - 60 000; Tempo integral

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

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 cloud platforms 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 — apply now 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

Referrals increase your chances of interviewing at Inetum by 2x

Get notified about new Machine Learning Engineer jobs in Porto, Portugal.

Full Stack Software Engineer (All Levels)

Senior ML Engineer (Portugal Based Remote/Hybrid)

Staff ML Engineer (Portugal Based Remote/Hybrid)

Middle/Senior Software Engineer (Frontend)

Lead ML Engineer (Portugal Based Remote/Hybrid)

Software Engineer, Platform - Porto, Portugal

Data Engineer (Portugal-based Remote/Hybrid)

Senior Retool Software Engineer - Jumia (Full Time)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.