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Welocalize is a trusted global transformation partner that accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
Job SummaryWe are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the design, development, and implementation of machine learning solutions that drive innovation in language services.
Key Responsibilities- Design and Develop Machine Learning Models: Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM fine tuning, and quality assurance.
- Project Ownership: Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
- Technique Selection: Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
- Model Optimization: Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
- Statistical Analysis: Perform statistical analysis and fine-tuning using test results.
- Deployment: Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
- Cloud Deployment: Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments.
- Continuous Learning: Keep abreast of developments in the field, with a dedication to learning in the role.
- Documentation and Communication: Document diligently and communicate thoughtfully about ML experimentation, design, and deployment.
- Education: BS in Computer Science, Mathematics or similar field.
- Experience: 3+ years experience as a Machine Learning Engineer or similar role.
- Skills: Ability to write robust, production-grade code in Python, excellent communication and documentation skills, strong knowledge of machine learning techniques and algorithms, hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, experience with natural language processing (NLP) techniques and tools, and strong communication and collaboration skills.
