Hybrid MLOps Engineer - Scale ML Infra

Gears of Leo AB

Stockholms kommun

Hybrid

SEK 800,000 - 1,100,000

Full time

14 days+
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Benefits offered by this job

Hybrid work policy
4 weeks of Workation
30 annual vacation days
Occupational Pension
5,000 SEK wellness contribution
Parental Leave Top-Up
Private health care insurance option
1,500 SEK equipment allowance
Benify - benefits portal

Job summary

A tech company in the MLOps space is seeking a Machine Learning Engineer to bolster their ML infrastructure. This mid-senior role involves designing and maintaining scalable MLOps pipelines, building cloud infrastructure for real-time models, and working closely with data scientists on production readiness. Key skills required include proficiency in Python, cloud platforms like GCP, and experience with CI/CD pipelines. Attractive perks include hybrid work, 30 vacation days, and wellness contributions.

Qualifications

  • Mid-senior level experience in Machine Learning Engineer or similar role.
  • Strong proficiency in Python for data and ML workflows.
  • Extensive experience with GCP for building ML systems.
  • Deep understanding of containerization and CI/CD.
  • Solid experience with ML experiment tracking.

Responsibilities

  • Design scalable MLOps pipelines for model lifecycle.
  • Build and manage cloud infrastructure for ML models.
  • Establish model monitoring and alerting systems.
  • Collaborate with Data Scientists on production readiness.
  • Develop reusable MLOps tooling and best practices.

Skills

Python
CI/CD pipelines
Cloud platforms (GCP)
Containerization technologies
SQL

Tools

Terraform
Vertex AI

Job description

A tech company in the MLOps space is seeking a Machine Learning Engineer to bolster their ML infrastructure. This mid-senior role involves designing and maintaining scalable MLOps pipelines, building cloud infrastructure for real-time models, and working closely with data scientists on production readiness. Key skills required include proficiency in Python, cloud platforms like GCP, and experience with CI/CD pipelines. Attractive perks include hybrid work, 30 vacation days, and wellness contributions.
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