23 feb
Nlp People
Estado de México
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources.
Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF ROLE The Machine Learning Engineer role is responsible for the design, development, and implementation of data-driven solutions to serve our organization.
This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and others.
The role also includes responsibility for following best practices to optimize and measure the performance of our models and algorithms against business goals.
MAIN DUTIES Machine learning model implementation: Work on the development and deployment of machine learning models for localization and business workflow processes, including machine translation and quality assurance.
Maintain code quality: Write well-documented, efficient, and clean Python code following best practices and under the guidance of senior engineers.
Collaborate on machine learning projects: Collaborate with cross-functional teams to implement solutions based on defined designs.
Model Implementation and Development: Contribute to developing models that are accurate, efficient, and aligned with project requirements.
Team Collaboration: Work closely with team members, actively participating in project discussions.
Commitment to Learning: Show dedication to continuous learning, staying updated with new techniques.
Clear Communication: Support clear communication within the team by sharing findings, challenges, and insights.
Take ownership of key projects from definition to delivery.
Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
Propose solutions and strategies to tackle business challenges.
REQUIREMENTS Education Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, Data Science or similar discipline (or equivalent experience).
Technical Skills and Experience 3+ years experience as a Machine Learning Engineer or similar role.
Essentials Solid understanding of machine learning concepts.
Hands-on experience with natural language processing (NLP) techniques and tools.
Proficiency in Python.
Good communication and documentation skills.
Nice to have Experience using Large Language Models in production.
Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with AWS technologies including EC2, S3, and other deployment strategies.
Knowledge of ML management technologies and deployment techniques.
Experience with data visualization tools like matplotlib, bokeh, d3.js.
Analytical mind and business acumen.
Ability to collaborate in an international environment and within a distributed team.
Welocalize is committed to equal opportunities and encourages those candidates who have a disability certificate (equal to or greater than 33%) to apply.
Company: Welocalize Level of experience (years): Senior (5+ years of experience) #J-18808-Ljbffr
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.