AI Machine Learning R&D Engineer
Description For AI Machine Learning R&D Engineer
Welocalize, a global transformation partner specializing in multilingual content services, is seeking an AI Machine Learning R&D Engineer to join their team. This role is perfect for a skilled ML engineer passionate about applying cutting-edge AI technologies to solve complex language and localization challenges.
The position offers an exciting opportunity to work on innovative machine learning solutions, including machine translation, LLM fine-tuning, and quality assurance systems. As an ML Engineer, you'll be responsible for the complete lifecycle of ML projects, from conception to deployment, utilizing modern tools and frameworks like TensorFlow, PyTorch, and AWS services.
The ideal candidate brings 3+ years of ML engineering experience, strong Python programming skills, and expertise in NLP. You'll work in a collaborative environment, taking ownership of key projects while contributing to the company's mission of enabling global business communication.
What makes this role unique is its focus on language technology and AI applications in the localization industry, working with a company that serves over 250 languages and maintains a network of 400,000+ linguistic resources. You'll have the opportunity to impact how businesses communicate globally through innovative AI solutions.
The position offers remote work flexibility and the chance to work with a diverse, international team. Success in this role requires a balance of technical expertise, project ownership, and strong communication skills to collaborate with both technical and non-technical stakeholders. If you're passionate about AI, machine learning, and global communication, this role offers an excellent opportunity to make a significant impact in the language technology industry.
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 (Sagemaker, EC2, S3) to deploy and monitor production environments
- Document and communicate about ML experimentation, design, and deployment
Requirements For AI Machine Learning R&D Engineer
- 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
- 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
- Strong communication and collaboration skills
- Experience with AWS technologies including EC2, S3
- Experience with ML management technologies and deployment techniques
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