Machine Learning Engineer - Remote - Latin America
- Buenos Aires
- Permanente
- Tiempo completo
Join to apply for the Machine Learning Engineer - Remote - Latin America role at FullStack Labs
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 a 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
5+ years of professional experience as a Machine learning Engineer or in a similar role.
Advanced English is required.
Successful completion of a four-year college degree is required.
Design, develop, and optimize machine learning models using LangChain and Python.
Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
Develop and maintain data pipelines for training and model evaluation.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Extensive experience with LLMs, prompt engineering, and AI-powered applications.
Strong understanding of retrieval-augmented generation RAG and vector databases.
Experience integrating and deploying ML models in production environments.
Develop and maintain clear documentation on ML workflows, architectures, and best practices.
Familiarity with cloud platforms AWS, GCP, Azure and scalable AI infrastructure.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting, Computer and Network Security, and Information Services
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