DevOps Engineering Lead for AI Model Pipelines
3 days ago
At GeologicAI, we are looking to hire a skilled DevOps Engineering Lead to play a key role in bridging the gap between R&D products and production engineering. As a Senior DevOps Specialist, your primary responsibility will be to apply DevOps/MLOps best practices in building and modernizing pipelines to support R&D prototyping, ML dataset labeling, and storage.
The ideal candidate will have experience working with big data, using cutting-edge technologies, and efficiently enabling analytics. Key responsibilities include:
- Developing and automating AI model pipelines, including data ingestion, training, packaging and validation, deployment and monitoring
- Dockerization of software services and applications
- Dev process streamlining with pre-commit hooks and CI pipelines
- Automated testing, checks
- Processing pipeline packaging and versioning
- Improving existing DevOps pipelines
We offer a competitive salary range of $120,000 - $160,000 per year, based on experience and qualifications. In addition to a comprehensive benefits package, you can expect:
- Bachelors degree in Computer Science or higher
- Minimum 5 years of Canadian work experience excluding internships
- Proven experience as a Senior DevOps Specialist
- Proficiency in Python, PowerShell, ML concepts, cloud computing, Data Engineering, and MLOps Frameworks
- Experience developing DevOps and MLOps pipelines
- Experience with Microsoft Azure
- Experience with Windows servers
- Experience as a Windows system administrator is preferred
- Python; SQL; Grafana & Prometheus for infrastructure monitoring and APM
A casual and fun work environment, extended health and dental benefits, flexible schedule and opportunities for remote work, free parking at the office, office gym, and dental care make our company an attractive choice for top talent.
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