Description:

The Machine Learning Engineer role is responsible for the design, development, and implementation of data-driven solutions to serve the organization.
This position includes ownership or oversight of projects from conception to deployment using appropriate AWS services, Docker, MLFlow, and other technologies.
The role involves following best practices to optimize and measure the performance of models and algorithms against business goals.
Responsibilities include the development and deployment of machine learning models for localization and business workflow processes, including machine translation and quality assurance.
The engineer will maintain code quality by writing well-documented, efficient, and clean Python code under the guidance of senior engineers.
Collaboration with cross-functional teams is essential to implement solutions based on defined designs and to support clear communication of technical progress.
The engineer will contribute to developing accurate and efficient models aligned with project requirements and take ownership of key projects from definition to delivery.
Evaluation and selection of appropriate machine-learning techniques and algorithms to solve specific problems is a key responsibility.
The role requires proposing solutions and strategies to tackle business challenges.

Requirements:

A Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, Data Science, or a similar discipline, or equivalent experience is required.
A minimum of 3 years of experience as a Machine Learning Engineer or in a similar role is essential.
A solid understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and classification techniques, is necessary.
Hands-on experience with natural language processing (NLP) techniques and tools is required.
Proficiency in Python, with the ability to write clean, well-structured code following best practices, is essential.
Good communication and documentation skills are necessary to explain technical work clearly to peers and team members, especially to non-technical stakeholders.
Experience using Large Language Models in production is a plus.
Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is desirable.
Familiarity with AWS technologies, including EC2, S3, and other deployment strategies, is beneficial, with experience in SNS and Sagemaker being a plus.
Knowledge of ML management technologies and deployment techniques, such as AWS ML offerings, Docker, and GPU deployments, is advantageous.
Experience with data visualization tools like matplotlib, bokeh, or d3.js is preferred.
An analytical mind and business acumen are important.
The ability to collaborate in an international environment and within a distributed team is required.

The position offers the opportunity to work in a trusted global transformation partner environment, contributing to innovative language services.
Employees will have the chance to engage in continuous learning and stay updated with new techniques in machine learning.
The role allows for collaboration with cross-functional teams, enhancing teamwork and communication skills.
The position supports the development of technical skills in machine learning and natural language processing.
Employees will have the opportunity to work remotely, providing flexibility in their work environment.
The role includes the potential for career growth and development within a global organization.