AI Machine Learning Engineer - Remote - Latin America
Indexed description
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.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 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.
- 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.
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