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Machine Learning Operations Engineer
Remote - Colombia
*ONLY CVs SUBMITTED IN ENGLISH WILL BE CONSIDERED*
The Opportunity:
Anthology delivers education and technology solutions so that students can reach their full potential and learning institutions thrive. Our mission is to empower educators and institutions with meaningful innovation that’s simple and intelligent, inspiring student success and institutional growth.
The Power of Together is built on having a diverse and inclusive workforce. We are committed to making diversity, inclusion, and belonging a foundational part of our hiring practices and who we are as a company.
Anthology’s data science team, Logos, is a general team that serves as a strike force to tackle the most challenging AI/ML features that require development and deployment of custom models. The team also leverages the power of our Illuminate data platform to deliver on use cases built on data from multiple Anthology products. Our cross-product data provides holistic insight into all aspects of student and institutional lifecycle.
Being at the heart of the company, Illuminate and Logos play the central role in manifesting the Power of Together. If you're an experienced MLOps Engineer who wants to work on exciting projects that leverage AI/ML at scale and are excited about advancing the AI revolution, we'd love to speak with you.
Primary responsibilities will include:
- Architecting and development of infrastructure to support AI/ML inference and training at scale
- Maintenance of existing model deployments
- Interfacing with other engineering teams from Anthology and helping them take advantage of AI/ML models in their products
- Gathering knowledge and experience from our partners (AWS, Microsoft, Snowflake, and others)
- Actively helping to advance our AI/ML infrastructure and toolbox
- This role may require possible occasional travel to the USA or Europe
Required skills/qualifications:
- 6-8 years of experience performing MLOps, DevOps,
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