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CreatorIQ

Senior MLOps Engineer

CreatorIQ
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3 months ago
Warsaw, PolandSenior

Responsibilities

  • Architect and implement human-in-the-loop and auto-annotation workflows.
  • Create ground truth and evaluation criteria for benchmarking models.
  • Implement best practices within production pipelines for model compliance.
  • Collaborate with Data Science on applied generative decisions.
  • Integrate measurement loops into broader infrastructure.

Requirements

  • Deep experience in setting up annotation workstreams using tools like Label Studio.
  • Experience in implementing model monitoring, versioning, and evaluation loops.
  • Strong proficiency in Python for writing scripts and API integrations.
  • Understanding of trade-offs between model performance, latency, and cost.
  • Comfortable working within AWS and GCP environments.

Benefits

  • Work with talented and collaborative colleagues.
  • Access to a learning platform for training and tools.
  • Surprise meal stipends for remote work.
  • 26 days vacation, wellness allowance, and paid parental leave.
  • Medical, life, and business travel insurance.
  • Stock options as part of an equity-sharing program.
  • Comprehensive perks program including stipends for home office setup and mental wellness.

Tech Stack

AWSGoogle Cloud PlatformPython

Categories

AI & MLData EngineeringDevOps