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Principal Machine Learning Engineer

15 hours, 45 minutes ago
Portugal
Full-time
Lead
Machine Learning Engineer
Software Development
CI/CD Docker GCP Go GraphQL Kubernetes LLM Machine Learning NLP Node.js Python Redis REST API Scala SQL
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qodea

qodea

A pretty IDE for humans.

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Description

  • Lead the architecture and evolution of scalable, high-performance data pipelines and ML systems.
  • Oversee data ingestion, transformation, quality checks, and enrichment workflows.
  • Provide technical leadership and mentorship to ML Engineers, Data Scientists, and Infrastructure Engineers.
  • Drive cross-functional initiatives using machine learning and AI to automate data quality and create intelligent enrichment solutions.
  • Develop approaches for semantic understanding, natural language processing, and potentially large language model use cases.
  • Define strategies to improve the performance, reliability, and observability of data and ML services.
  • Design and implement frameworks to evaluate data quality and ML model effectiveness using offline and online validation.
  • Champion engineering best practices across teams, including code quality, data governance, and ML system design.
  • Shape long-term technical direction by applying emerging trends in AI, ML, data engineering, and distributed systems.
  • Influence engineering standards and alignment across teams and functions in a data-centric environment.

Requirements

  • Extensive experience designing and leading large-scale distributed data and/or ML backend systems.
  • Hands-on experience with ETL pipeline design and optimization for complex data sets.
  • Deep familiarity with Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
  • Strong backend development experience with Python and Scala.
  • Knowledge of Node.js or Golang is a plus.
  • Proficiency with SQL and NoSQL databases and data warehousing solutions.
  • Experience building robust APIs, including REST and GraphQL.
  • Experience operating in modern cloud environments, with GCP preferred.
  • Hands-on experience with Kubernetes, Docker, CI/CD, and observability tools.
  • Proven ability to lead and influence engineering direction across teams and functions.
  • Strong communication skills and ability to align diverse technical stakeholders around a shared vision.

Benefits

  • 25 days of annual leave, plus Juneteenth and your birthday off.
  • Paid office closure between Christmas and New Year's.
  • Health insurance.
  • 15 days of paid sickness and wellness leave.
  • A generous learning and development budget.
  • An annual leadership development programme.
  • Access to a strong company culture with weekly meetings, company updates, team socials, and celebrations.
  • In-house DE&I council and mental health first-aiders.

Interested in this position?

Apply directly on the company website

Apply Now

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