AI Machine Learning R&D Engineer

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July 4

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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. • Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages. • The AI Machine Learning Research & Development Engineer role is responsible for the design, development and implementation of machine learning solutions. • This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, and more.

🎯 Requirements

• BSc in Computer Science, Mathematics or similar field; Master’s degree 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. • 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 plus.

🏖️ Benefits

• Welocalize is committed to equal opportunities and encourages candidates with a disability certificate (equal to or greater than 33%) to apply.