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AI Machine Learning Engineer - Remote - Latin AmericaFullStack • United States
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AI Machine Learning Engineer - Remote - Latin America

FullStack
  • US
    United States
  • US
    United States
Apply Now

About

About FullStack FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
Offering life-changing opportunities for talented software professionals across the Americas.
Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
Our 4.2-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.
We’re Most Proud Of
Offering life-changing opportunities for talented software professionals across the Americas.
Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
Our 4.2-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.
The Opportunity Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Machine Learning Engineer.
You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We’re Looking For
4+ years of professional experience as an Artificial Intelligence Engineer, Machine Learning Engineer, or similar role.
Advanced English is required.
Successful completion of a four-year college degree is required.
Proven experience developing and optimizing AI/ML models using Python and frameworks like LangChain.
Deep understanding of large language models (LLMs), prompt engineering, and the latest trends in generative AI.
Hands‑on experience with retrieval‑augmented generation (RAG) techniques and vector databases (e.g., FAISS, Pinecone, Weaviate).
Solid experience integrating and deploying AI/ML solutions into production environments.
Ability to design and maintain scalable, reliable AI infrastructure on cloud platforms such as AWS, GCP, or Azure.
Strong skills in documenting AI/ML workflows, architectural decisions, and best practices.
Experience with MLOps, CI/CD pipelines, and maintaining production‑grade AI systems.
Ability to work through new and difficult issues and contribute to libraries as needed.
Ability to create and maintain continuous integration and delivery of applications.
Forensic attention to detail.
A positive mindset and a can‑do attitude.
Experience working on Agile / Scrum teams.
Meaningful experience working on large, complex systems.
Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
Ability to identify with the goals of FullStack’s clients, and dedicate yourself to delivering on the commitments you and your team make to them.
Ability to consistently work 40 hours per week.
What We Offer
Competitive pay.
100% remote work.
The ability to work with leading startups and Fortune 500 companies.
Continuing education opportunities.
Opportunity to grow and expand your career.
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.
Learn more about our Applicants Privacy Notice.
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  • United States

Languages

  • English
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