Data Engineer (MLOps & Machine Learning)

Fyld • Porto Metropolitan Area
Relocation
Apply
AI Summary

Fyld is seeking a Data Engineer specializing in MLOps and Machine Learning to build and maintain data pipelines and processing solutions. This role requires strong Python development, cloud-native AWS experience, and a solid understanding of the ML lifecycle. Ideal candidates possess analytical skills and collaborate effectively with Data Scientists and engineering teams.

Key Highlights
Focus on MLOps and Machine Learning lifecycle
Strong Python and AWS cloud-native services experience required
Hybrid regime in Belgium
Key Responsibilities
Bring high-performance professionals into the field across various technological areas.
Achieve peak performance with each of our consultants.
Focus on training and excellence.
Technical Skills Required
Python Amazon Web Services Machine Learning
Benefits & Perks
Competitive compensation package
Continuous learning and career development opportunities
Relocation support for candidates moving to Portugal
Nice to Have
Knowledge of Databricks, Feature Stores, and MLflow Model Registry
Familiarity with CI/CD, automation, and cloud-native development practices

Job Description


Fyld is a Portuguese consulting company specializing in IT services. We bring high-performance professionals into the field across various technological areas.

Inspired by sports management philosophy, we strive to achieve peak performance with each of our consultants. We focus on training and excellence.


Join us for the next game!


We are looking for our next Data Engineer (MLOps & Machine Learning):


Requirements

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Mathematics, Statistics, or a related field
  • Proven experience in Python development, preferably in data-intensive or Machine Learning environments
  • Strong experience building and maintaining data pipelines and data processing solutions
  • Solid understanding of Machine Learning lifecycle processes, including feature engineering, model training, tuning, deployment, and inference
  • Experience working with MLOps concepts and best practices
  • Hands-on experience with AWS services such as S3, Step Functions, Athena, Lambda, and related cloud-native services
  • Experience with Big Data architectures and technologies
  • Strong analytical and problem-solving skills
  • Ability to collaborate closely with Data Scientists, Quantitative Analysts, and cross-functional engineering teams
  • Experience designing and implementing scalable and reliable software solutions
  • Knowledge of Databricks, Feature Stores, and MLflow Model Registry is a plus
  • Familiarity with CI/CD, automation, and cloud-native development practices is valued
  • Hybrid regime in Belgium
  • Fluency in English (mandatory)


We offer

  • Competitive compensation package
  • International and innovative environment
  • Continuous learning and career development opportunities
  • Access to challenging projects with modern technologies
  • Supportive and collaborative team culture
  • Relocation support for candidates moving to Portugal


We value

High standards, professionalism, ownership, curiosity, and a passion for technology. Everything else can be learned!

If you're interested in joining our team


Send your CV to [email protected]


Fyld, where top talents shine. 🚀


Similar Jobs

Explore other opportunities that match your interests

Visa Sponsorship Relocation Remote
Job Type Contract
Experience Level Mid-Senior level

All European Careers

Bucharest Metropolitan Area

Postdoctoral Researcher in Data Science for Fusion Target Design

Data Science
•
12h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

Sandia National Laboratories

United State

Data Engineer

Data Science
•
20h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

viaquant partners

Cyprus

Subscribe our newsletter

New Things Will Always Update Regularly