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(Aplicar en 3 Minutos) AI Machine Learning Engineer - Remote - Colombia...

(Aplicar en 3 Minutos) AI Machine Learning Engineer - Remote - Colombia...

FullStack LabsLa Mesa, CO
Hace más de 30 días
Descripción del trabajo

Overview

Join to apply for the AI Machine Learning Engineer - Remote - Colombia role at FullStack Labs.

2 weeks ago Be among the first 25 applicants

About FullStack

FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented candidates by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position

We're Looking To Hire a Senior AI Machine Learning Engineer To Join Our Team. You'll Work With Our Incredible Clients In One Of Two Ways

  • Team Augmentation : You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.
  • Design & Build : You will work on a FullStack product team to build and deliver a product to our clients.
  • 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 Salary.
  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health policy with Sura 100% for you and up to 4 primary family members.
  • English Classes.
  • Food card.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.
  • FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

    Learn more about our Applicants Privacy Notice.

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