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Publicado hace 56 días

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Intermediate

AI Machine Learning Engineer

$40,000 MXN/mes brutos

*Salario especifico depende del proceso de selección

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2-3 años de experiencia

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Remote

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CDMX, México

icon portfolio

2-3 años de experiencia

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Remote

icon location

CDMX, México

Description

We are looking for an AI Machine Learning Engineer that is responsible for the design, development and implementation of ML solutions to serve the organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.

Some of the main responsibilities are to:

  • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM fine tuning, and quality assurance.
  • Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
  • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
  • Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
  • Perform statistical analysis and fine-tuning using test results.
  • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
  • Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments.
  • Keep abreast of developments in the field, with a dedication to learning in the role.
  • Document diligently and communicate thoughtfully about ML experimentation, design, and deployment.



Requirements




  • 3+ years experience as a Machine Learning Engineer or similar role.Ability to write robust, production-grade code in Python.
  • Excellent communication and documentation skills.
  • Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Experience with natural language processing (NLP) techniques and tools.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. 
  • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.


Benefits

Attractive benefits.

Skills

Python

TensorFlow

Torch/PyTorch

Scikit-learn

Scikit-learn

Scikit-learn

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