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Ai/Ml Engineer - $4,000 - $8,000 A Month - Remote - Up To €70.000 A Year

Phiture

Remote

EUR 59.000 - 70.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading AI company is seeking a Senior Machine Learning Engineer to join their fast-growing team. This role involves collaborating with data scientists to develop robust ML pipelines and optimizing ML workflows. Ideal candidates will have extensive experience in software development using Python and hands-on experience with cloud platforms. This opportunity offers competitive salary and the flexibility of remote or hybrid work.

Qualifikationen

  • Extensive software development experience using Python in high-performance production environments.
  • Hands-on experience designing machine learning software systems.
  • Excellent problem-solving and communication skills.

Aufgaben

  • Collaborate with data scientists to develop production-ready model training pipelines.
  • Design scalable solutions and inference pipelines in distributed environments.
  • Implement model diagnostics, monitoring flows, and evaluation metrics.
  • Automate model deployment and create REST API endpoints for ML models.
  • Build scalable model serving workflows.
  • Optimize clusters for performance and scalability.
  • Develop and maintain internal ML tools and libraries.
  • Write CI/CD/CT pipelines for reliable, repeatable deployment.

Kenntnisse

Python
Machine Learning
Cloud platforms (AWS/Azure)
Spark/PySpark
Problem-solving
Communication
Jobbeschreibung
Senior Machine Learning Engineer

Salary: Up to €70,000 + competitive bonus

Location: Portugal (Remote or Hybrid)

I am looking for a Senior Machine Learning Engineer to join a fast‑growing AI team focused on operationalizing cutting‑edge ML models and delivering robust ML pipelines at scale.

This is an exciting opportunity to work on real‑world AI applications, optimize ML workflows, and contribute to a high‑performing, cross‑functional team.

What You'll Do
  • Collaborate with data scientists to develop production‑ready model training pipelines
  • Design scalable solutions and inference pipelines in distributed environments
  • Implement model diagnostics, monitoring flows, and evaluation metrics
  • Automate model deployment and create REST API endpoints for ML models
  • Build scalable model serving workflows
  • Optimize clusters for performance and scalability
  • Develop and maintain internal ML tools and libraries
  • Write CI/CD/CT pipelines for reliable, repeatable deployment
What They Are Looking For
  • Extensive software development experience using Python in large‑scale, high‑performance production environments
  • Hands‑on experience designing ML software systems
  • Experience with cloud platforms like AWS or Azure
  • Proficiency with Spark/PySpark
  • Excellent problem‑solving and communication skills

If you are interested, please reach out for a private conversation.

Unfortunately, this role does not provide sponsorship.

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