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Contract MLOps Engineer - Feature Store Cleanup

PolarML

Remote · $95 - $120/hour · Freelance · Posted 6 months ago

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About the role

A fintech data platform has accumulated too many one-off feature pipelines and inconsistent lineage. The internal team knows what needs to be cleaned up but lacks bandwidth. This contract role is for someone who can come in, make the feature pipelines less fragile, and leave the house in better order than they found it.

Fully remote.

Key Deliverables

List the expected deliverables for this project.

  • Audit feature pipelines and identify the highest-friction failure points
  • Standardise naming, lineage, and deployment practices where practical
  • Improve monitoring for late or broken feature jobs
  • Support a migration plan away from brittle one-off components
  • Write a handoff that internal engineers can actually use

Requirements

Technical stack needed for this mission.

  • Hands-on MLOps or data platform experience
  • Python for tooling and migration work
  • Kubernetes or containerised job orchestration experience
  • MLflow or similar model and artefact tooling
  • CI/CD familiarity for infrastructure changes
  • Ability to improve systems without creating unnecessary platform sprawl

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Categories

MLOps & AI Infrastructure

Skills

python kubernetes mlflow ci/cd sql

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Contract Type

Hourly rate

Level

Mid-level

Budget Range

$95 - $120/hour

Duration

10 weeks

AI Expertise

MLOps & AI Infrastructure

Skills

python kubernetes mlflow ci/cd sql

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About PolarML

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