AI Machine Learning R&D Engineer
Job Description
Welocalize, a leading global transformation partner, is seeking an AI Machine Learning R&D Engineer to join their innovative team. This role offers an exciting opportunity to work with a company that serves over 250 languages and maintains a network of 400,000+ linguistic resources worldwide. The position focuses on designing and implementing cutting-edge machine learning solutions, particularly in the areas of localization and business workflow processes.
As an AI ML R&D Engineer, you'll be responsible for the complete lifecycle of machine learning projects, from conception to deployment. You'll work with state-of-the-art technologies including AWS services, Docker, and ML Flow to develop and optimize models that drive business value. The role requires expertise in Python programming, deep learning frameworks, and natural language processing, making it perfect for someone passionate about applying AI to solve real-world language and localization challenges.
The ideal candidate will have at least 3 years of experience in machine learning engineering, with a strong educational background in Computer Science, Data Science, or related fields. You'll be working in a remote environment, collaborating with teams across North America, Europe, and Asia. This position offers the opportunity to work on innovative projects while contributing to the company's mission of enabling brands to reach and engage international audiences effectively.
Success in this role means developing accurate and efficient models, collaborating effectively with various stakeholders, and maintaining a commitment to continuous learning and ethical AI development. If you're passionate about machine learning, natural language processing, and want to work with a global leader in language services, this position offers an excellent opportunity to make a significant impact while working with cutting-edge AI technologies.
Responsibilities For AI Machine Learning R&D Engineer
- Design and develop machine learning models and algorithms for localization and business workflow processes
- Take ownership of key projects from definition to deployment
- Evaluate and select appropriate machine-learning techniques and algorithms
- Implement and optimize machine learning models using Python, TensorFlow, and other frameworks
- Perform statistical analysis and fine-tuning using test results
- Deploy machine learning models using Docker and cloud infrastructure
- Use AWS technologies to deploy and monitor production environments
- Document and communicate about ML experimentation, design, and deployment
Requirements For AI Machine Learning R&D Engineer
- Master degree in Computer Science, Data Science, Engineering, Mathematics or similar field
- Minimum 3+ years experience as a Machine Learning Engineer or similar role
- Ability to write robust, production-grade code in Python
- Strong knowledge of machine learning techniques and algorithms
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with natural language processing (NLP) techniques and tools
- Experience with AWS technologies (EC2, S3)
- Experience with ML management technologies and deployment techniques
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