Become A Machine Learning Engineer, Generative Ai & Llms Expert

Factored; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading AI company in Veracruz is seeking a talented Machine Learning Engineer to lead the development of advanced AI models. This role emphasizes the design and deployment of intelligent systems, requiring over 5 years of experience in machine learning and proficiency in Python, PyTorch, and deep learning frameworks. Successful candidates will enjoy a flexible work culture that values collaboration and personal growth. A Bachelor's or Master's degree in a quantitative field is necessary.

Servicios

Flexible work from home

Career growth and professional development

Collaborative atmosphere

Formación

• 5+ years of hands-on machine learning experience, 2+ years in production NLP and deep learning models.
• Expertise in RAG and generative AI frameworks like Hugging Face and OpenAI API.
• Excellent communication skills to explain complex concepts.

Responsabilidades

• Design, develop, and deploy advanced machine learning models.
• Create intelligent systems that enhance performance and usability.
• Optimize and deploy complex NLP models in scalable environments.

Conocimientos

Python

Deep Learning

Machine Learning Model Development

Communication

NLP

Cloud Computing

Educación

Bachelor's or Master's degree in Computer Science, Statistics, or related field

Herramientas

PyTorch

TensorFlow

AWS

GCP

Descripción del empleo

Overview

Become a Machine Learning Engineer, Generative AI & LLMs Expert at Factored. Founded by Andrew Ng and a team of experienced AI researchers, Factored is committed to addressing the global shortage of qualified AI & Machine‑Learning engineers, particularly in Latin America.

About the Program

We are launching a six‑week Boosting Program, a full‑time intensive experience designed to transform strong quantitative and coding skills into cutting‑edge expertise. Through asynchronous learning, synchronous sessions, and hands‑on practice, participants will build advanced capabilities in LLM concepts, frameworks, and agentic architectures.

Responsibilities

• Lead End‑to‑End ML Development: Design, develop, and deploy advanced machine learning models focused on Retrieval‑Augmented Generation (RAG), LLMs, and Generative AI solutions.
• Build Intelligent Systems: Create and implement intelligent systems that integrate retrieval and generation techniques, enhancing performance and real‑world usability.
• Model Optimization & Deployment: Optimize complex NLP and deep learning models using PyTorch or TensorFlow for scalable production environments.
• Drive Innovation: Apply cutting‑edge methodologies such as prompt engineering, model fine‑tuning, and AI agent automation to push solution boundaries.
• Ensure Scalability: Work with AWS, GCP, or equivalent on‑premise platforms to guarantee reliable and scalable deployment of all AI systems.
• Cross‑Functional Collaboration: Partner closely with software engineers, data scientists, and product teams to integrate AI solutions into real‑world applications.
• Effective Communication: Clearly communicate complex engineering challenges and innovative solutions to both technical and business audiences.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Experience: 5+ years of hands‑on experience in developing and deploying machine learning models, with 2+ years of direct experience in production NLP and deep learning models.
• Technical Stack: Strong Python skills, adherence to coding best practices, and deep proficiency with PyTorch/TensorFlow for deep learning and NLP applications.
• Generative AI Exposure: Expertise in Retrieval‑Augmented Generation (RAG) and other techniques to enhance AI model capabilities.
• Hands‑on Experience: LLMs and Generative AI frameworks (e.g., Hugging Face, OpenAI API, LangChain), prompting techniques, and AI agent automation workflows.
• Infrastructure: Experience with cloud computing (AWS, GCP) or equivalent on‑premise platforms for model deployment.
• Communication: Excellent communication skills, with the ability to articulate complex engineering concepts clearly and effectively to diverse audiences.

Culture & Benefits

At Factored, you will join an amazing team that supports you, a rich culture, shared success, and flexible work from home. We value honesty, transparency, freedom to learn, and a collaborative atmosphere where every voice matters. We invest heavily in career growth, professional development, and creating a high‑performing, fast‑growing business that redefines technical talent in Latin America.

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