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Machine Learning Engineer

hace 2 meses

Madrid, Madrid, España Welocalize A tiempo completo
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Welocalize. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.

Key Responsibilities
  • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance.
  • Take ownership of key projects from definition to delivery, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
  • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
  • Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
  • Perform statistical analysis and fine-tuning using test results.
  • Keep abreast of developments in the field, with a dedication to learning in the role.
  • Document diligently and communicate thoughtfully about ML experimentation, design, and deployment.
  • Define and design solutions to machine learning problems.
  • Integration with larger systems done with guidance of more senior team members.
  • Communicate with stakeholders and present findings in a clear manner.
  • Propose solutions and strategies to tackle business challenges.
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, Data Science or similar discipline (or equivalent experience).
  • Technical Skills and Experience: 3+ years experience as a Machine Learning Engineer or similar role.
  • Highly proficient 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.