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FullStack Labs, Inc. is seeking a Machine Learning Operations Engineer to join our talent network for remote, project-based work across Latin America. You will integrate with client teams, deploying ML/AI models via APIs and ensuring robust MLOps practices across the lifecycle.
Strong Python and CI/CD skills are essential. Ideal candidates have 3+ years of ML/AI development experience, advanced English, a four-year degree, and prior exposure to LLMs, datastores, and cloud platforms.
Chimbote
Latam
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Machine Learning Operations Engineer (AI/ML).
You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
We're seeking engineers who are AI-enthusiastic in their workflow. Professional experience or personal project work with the following is a significant plus:
Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
FullStack will not sponsor applicants for work visas now or in the future.
Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.