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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
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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.