AI Machine Learning R&D Engineer

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July 15

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Welocalize

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Artificial Intelligence • Enterprise • SaaS

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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. • MAIN PURPOSE OF JOB • The AI Machine Learning Research & Development 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, ML Flow, and other. • The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.

🎯 Requirements

• Master degree in Computer Science, Data Science, Engineering, Mathematics or similar field; PhD is a plus • Minimum 3+ 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 • Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a pls.