AI Machine Learning Engineer (Perú)

AI Machine Learning Engineer (Perú)

10 ago
|
FullStack
|
Perú

10 ago

FullStack

Perú

About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top integral 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.

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 ML

📌 AI Machine Learning Engineer (Perú)
🏢 FullStack
📍 Perú

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