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Publicado hace 35 días

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Senior

Senior Machine Learning Engineer

Sueldo Negociable

*Salario especifico depende del proceso de seleccion

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7-9 años de experiencia

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Full-Time

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Miguel Hidalgo, México

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7-9 años de experiencia

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Full-Time

icon location

Miguel Hidalgo, México

Description

We are looking for a Senior Machine Learning Engineer, responsible for the discovery, design, development and implementation of 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 tools. The role also includes responsibility for establishing best practices with which to optimize and measure the performance of our models and algorithms against business goals. The Senior Machine Learning Engineer provides guidance and support to all members of the ML team. 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 finetuning, and quality assurance. Take ownership of key projects from conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems Deploy machine learning models into a large-scale AWS environment, including architecture design and deep knowledge of AWS best practices Implement and optimize machine learning models and technologies using Python, TensorFlow, Pandas, and similar Perform statistical analysis and fine-tuning using test results. Provide guidance and support to members of the team, mentoring in best practices for machine learning management

Requirements

5+ 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. Experience taking ownership of projects from conception to deployment, and mentoring more junior team members. Significant experience with ML management technologies and deployment techniques. Must include enterprise experience with AWS and Docker. Benefits Competitive Package

Skills

AWS

Docker

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