AI Engineer

MTS Moose Tech Solutions; Ciudad de México; Presencial; MXN 1.074.498 - 1.611.747; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

20 days of PTO

Reimbursement for relevant certifications

Descripción de la vacante

A leading technology solutions provider seeks an experienced AI Engineer to enhance AI products and implement innovative ML systems. Candidates must have 4+ years of experience in Machine Learning and proficiency in Python. This full-time remote role offers competitive benefits, including 20 days of PTO and reimbursement for relevant certifications. Ideal applicants will have expertise in cloud technologies, containerization, and NLP techniques. Join us to drive advancements in AI solutions and become a subject matter expert on exciting client projects.

Formación

• 4+ years of applied Machine Learning (ML) experience in a commercial setting.
• 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI).
• Strong background in Object-Oriented Programming (OOP) principles.

Responsabilidades

• Build and enhance AI-enabled products.
• Serve as an ML SME on client projects.
• Design and implement ML systems.

Conocimientos

Machine Learning experience

Proficiency in Python

Analytical skills

Cloud environments

Containerization technologies

NLP techniques

Educación

Bachelor's degree in Computer Science

Herramientas

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

PLEASE READ THOROUGHLY TO AVOID REJECTION.

• Location: Open to candidates from LATIN AMERICANcountries (e.g., Mexico, Uruguay, Colombia, Peru, Argentina, Chile, Brazil, Costa Rica, Puerto Rico, Nicaragua, Dominican Republic, El Salvador, Honduras, Panama).
• Full-time, remote position.
• 4+ years of applied Machine Learning (ML) experience in a commercial setting.
• 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI).

Requirements

• Bachelors degree in Computer Science, Software Engineering, or a related field.
• Proficiency in Python programming and advanced experience in NLP techniques and applications.
• Expertise in ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
• Strong background in Object-Oriented Programming (OOP) principles and unit test-driven development.
• Experience with cloud environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with prompt engineering and LLM optimization techniques.
• Experience in developing, deploying, and monitoring ML models.
• Strong analytical and problem-solving skills with the ability to propose innovative solutions.
• Bonus: Experience in areas such as agent development, fine-tuning LLMs, MLOps, or vector databases.

Role Overview

As an AI Engineer, you will work on cutting-edge AI solutions, enhancing AI-enabled products, and contributing to advanced ML systems. You will serve as a subject matter expert (SME) on client projects and drive the design and implementation of innovative AI systems.

Responsibilities

• Build and enhance AI-enabled products.
• Serve as an ML SME on client projects.
• Design and implement ML systems, including selecting datasets and algorithms.
• Conduct ML tests, experiments, and fine-tuning using test results.
• Train, retrain, and deploy models while ensuring effective monitoring and performance.
• Stay up-to-date with emerging technologies and ML best practices to improve methodologies.
• 20 days of PTO and local public holidays off.
• Reimbursement for relevant certifications (e.g., AWS).