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Machine Learning Engineer (Mid)

PowerTalent specializes in recruitment, selection, and global outsourcing, providing customized talent solutions and building local, nearshore, or offshore teams.
Lisbon, PortugalBraga, Portugal3130 Soure, Portugal
Machine Learning
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Enterprise SaaS

Job Description

PowerTalent, a specialized recruitment and selection company, is seeking a Machine Learning Engineer for their client, a global leader in professional services. The role combines cutting-edge ML engineering with practical business applications. The position offers an opportunity to work with a company focused on digital transformation and sustainable growth.

As a Machine Learning Engineer, you'll be responsible for building and deploying scalable ML products in a microservices architecture. The role requires expertise in ML algorithms, pipelines, and transformations, along with practical experience with GCP tools like Vertex AI, BigQuery, and Cloud Composer. You'll work with modern technologies including Apache Airflow for ML workflow automation and container orchestration using Docker and Kubernetes.

The position offers a flexible work arrangement with a hybrid model, allowing you to balance office and remote work. You'll have the choice between a contract or B2B engagement, and the company invests in your growth through continuing education and professional development opportunities.

The ideal candidate should have at least 2 years of hands-on experience in ML product development, strong testing capabilities, and proficient English skills (B2B minimum). You'll be joining a company that values long-lasting relationships and shared success, working on projects that drive digital transformation and optimize operations for clients worldwide.

Working from any of the three locations in Portugal - Lisbon, Braga, or Coimbra - you'll be part of a team that's at the forefront of applying machine learning solutions to real-world business challenges. This role offers an excellent opportunity for professional growth in a globally recognized organization.

Last updated 14 days ago

Requirements For Machine Learning Engineer (Mid)

Kubernetes
  • 2+ years of hands-on experience building scalable ML products
  • Strong foundation in ML algorithms, ML pipelines, and transformations
  • Proven experience deploying ML solutions in microservices architecture
  • Experience using GCP tools such as Vertex AI, BigQuery, Cloud Composer, and Cloud Storage
  • Knowledge of distributed data processing, ML workflow automation (Apache Airflow), CI/CD practices, and MLOps
  • Strong testing mindset (unit, integration, end-to-end) and experience with container orchestration (Docker, Kubernetes)
  • Proficiency in English (minimum B2 level)

Benefits For Machine Learning Engineer (Mid)

  • Contract or B2B, its up to you
  • Hybrid Work
  • Continuing education and professional development

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