AI Machine Learning Engineer

hace 1 mes


Ciudad de México, Ciudad de México Welocalize A tiempo completo
About the Role

We are seeking a highly skilled Machine Learning R&D Engineer to join our team at Welocalize. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.

The successful candidate will be responsible for designing, developing, and implementing machine learning solutions to serve our 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.

Key Responsibilities
  • Design, develop, and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance.
  • Ensure code quality by writing robust, well-documented, and structured Python code.
  • Define and design solutions to machine learning problems by working closely with cross-functional teams to understand business requirements and design solutions that meet those needs.
  • Mentor junior team members and contribute to a collaborative team environment.
Success Indicators
  • Effective model development: success is evident when the models developed are accurate, efficient, and align with project requirements.
  • Positive team collaboration: demonstrated ability to collaborate effectively with various teams and stakeholders, contributing positively to project outcomes.
  • Continuous learning and improvement: a commitment to continuous learning and applying new techniques to improve existing models and processes.
  • Clear communication: ability to articulate findings, challenges, and insights to a range of stakeholders, ensuring understanding and appropriate.
Requirements
  • Excellent understanding of machine learning concepts and methodologies, including supervised and unsupervised learning, deep learning, classification.
  • Hands-on experience with natural language processing (NLP) techniques and tools.
  • Ability to write robust, production-grade code in Python.
  • Excellent communication and documentation skills. Able to explain complex technical concepts to non-technical stakeholders.
  • Experience taking ownership of projects from conception to deployment. Ability to transform business needs to solutions.
Preferred Qualifications
  • Experience using Large Language Models in production.
  • High proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus.
  • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.
Education and Experience
  • BS in Computer Science, Mathematics or similar field.
  • Master's Degree is a plus.
  • 5+ years experience as a Machine Learning Engineer or similar role.


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