AI / ML R&D Engineer

time left to apply End Date : July 31, 2025 (30+ days left to apply)

job requisition id R0006657

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Job Responsibilities :

The Machine Learning Engineer role is responsible for the 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 following best practices to optimize and measure the performance of models and algorithms against business goals.

MAIN TASKS & RESPONSIBILITIES

The following is a non-exhaustive list of responsibilities and areas of ownership of an AI / ML Engineer :

• Design and develop machine learning models and algorithms for localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance.
• Take ownership of key projects from definition to deployment, ensuring they meet technical requirements and maintain momentum until delivery.
• Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
• Implement and optimize machine learning models using Python, TensorFlow, and other tools.
• Perform statistical analysis and fine-tuning based on test results.
• Deploy models using containerization (Docker) and cloud infrastructure.
• Use AWS technologies (Sagemaker, EC2, S3) to deploy and monitor environments.
• Stay updated with developments in the field and pursue continuous learning.
• Document processes and communicate ML experimentation, design, and deployment effectively.
• Define and design solutions for machine learning problems, with guidance from senior engineers on system integration.

Success Indicators for a Machine Learning Engineer

REQUIREMENTS

Education

Experience

Skills & Knowledge

About Us

Welocalize, Inc., founded in 1997, offers innovative translation and localization solutions to global brands in over 157 languages. Our services include localization management, translation, supply chain management, staffing, automation tools including MT, testing, and enterprise translation management technologies. With over 600 employees worldwide, we have offices in the US, UK, Italy, Germany, Ireland, Romania, Japan, and China.

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