Machine Learning Engineer full time

We are META HQ: Portugal Remote job Jul 22

Remote policy: Full remote

Seeking a Machine Learning Engineer: Rhino, are you there?

At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.

Why join us?

  1. Expand your network: As a consultant at We Are META, you’ll have access to a network of national and international partners across diverse sectors of the tech industry.
  2. Enjoy our perks: When you join the crash you’ll have an array of benefits, to help you achieve the best work-life balance.
  3. Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy (remote, hybrid, on-site) or the company’s culture.
  4. Personalized support: With our career coach, we assure that all your needs are being met and you’re being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.

Main requirements

For this position, the perfect Rhino should have the following skills:

  • At least 5 years of experience working as a Machine Learning Engineer.
  • Strong background in supervised and unsupervised learning, including survival analysis, time series modeling, and statistical forecasting.
  • Skilled in developing predictive models (e.g., churn prediction, user journey modeling, sales forecasting) using behavioral data.
  • Proficient with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
  • Hands-on experience in model training, version control, and production monitoring.
  • Solid knowledge of MLOps practices, including CI/CD, Docker, Kubernetes, Apache Airflow, AWS SageMaker, MLflow, model observability tools, and feature stores.
  • Fluency in English (B2)
  • Availability for a remote model based in Portugal

Benefits & Perks

Perks of becoming a Rhino:

  • You’ll get a welcome kit 📚
  • Opportunities for career progression 📈
  • Live on the edge with our health insurance 🏥
  • Coverflex meal card 🍲 💳
  • Other protocols and special discounts ✨
Requirements
Availability:
Full-time (40 hrs/wk)
Negotiable rate
Apply to job
Apply on an external web page