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Urgent! AI Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring Welocalize

AI Machine Learning Engineer



Job description

Overview

Senior Manager, Global Talent Acquisition - Corporate at Welocalize.

Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences with multilingual content transformation services in translation, localization, and adaptation for 250+ languages and a network of in-country linguistic resources.

The company delivers training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.

Our team works across locations in North America, Europe, and Asia serving global clients in the markets that matter to them.

Responsibilities

  • Machine learning model research and development: design, develop and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance.

    Utilize appropriate metrics to evaluate model performance and iterate accordingly
  • Ensure code quality:
    Write robust, well-documented, and structured Python code
  • Define and design solutions to machine learning problems: Work closely with cross-functional teams to understand business requirements and design solutions that meet those needs.

    Explain complex technical concepts clearly to non-technical stakeholders
  • Mentorship: Guide junior team members and contribute to a collaborative team environment

Qualifications

  • Essentials
  • Excellent, in-depth understanding of machine learning concepts and methodologies, including supervised and unsupervised learning, deep learning, and 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
  • Nice to have
  • 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

  • Master's Degree in Computer Science, Mathematics, Engineering, or similar field
  • 5+ years experience as a Machine Learning Engineer or similar role

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Required Skill Profession

Tecnología Eléctrica Y Energética



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