Requirements: English
Company: Dataforce
Region: Barcelona , Catalonia
Machine Learning EngineerWork Location: Barcelona, onsite Engagement Model: Full-time Employment Estimated Start Date: May 2025 DataForce by TransPerfect is seeking a Machine Learning Engineer to join our team in the Barcelona, Spain.Role SummaryAs a Machine Learning Engineer to help us build and apply ML solutions that scale feature development, utterance understanding, and natural language generation across multiple languages. You will work on cutting-edge technology at the intersection of multilingualism and agentic LLMs. This role requires hands-on development, collaboration across teams, and a deep understanding of large-scale ML systems. Role Responsibilities - Work on state-of-the-art solutions involving agentic LLMs and multilingual learning. - Understand and influence how large language models (LLMs) acquire capabilities across different languages. - Design and implement systems to automate multilingual data creation and filtering. - Develop scalable methods to fine-tune LLMs in multiple languages. - Create automated evaluation systems for multilingual agent performance. - Contribute to and enhance existing ML systems and infrastructure. - Build and deploy ML-powered products that serve global users. - Coordinate across multiple engineering and research teams to ensure alignment and product quality. Job requirements - Master s or PhD in Machine Learning, Computational Linguistics, or equivalent experience. - 2+ years of experience in software engineering or applied machine learning. - Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). - Experience with large-scale ML systems, LLMs, or NLP architectures. - Proven ability to ship ML-based products with measurable impact. - Strong understanding of multilingual datasets and challenges in cross-lingual modeling. - Excellent communication skills and experience working across teams. - Idiomatic fluency in English. - Experience working with one of the following languages: Danish, Swedish, Dutch, Vietnamese, Turkish, Chinese, Portuguese, Arabic, Finnish, Hebrew, Hindi, Malay, or Thai. Preferred Skills: - Experience with agent-based architectures, LLM fine-tuning, and evaluation. - Background in multilingual or cross-lingual natural language processing. - Experience building tools for automated data generation, augmentation, or filtering. - Familiarity with evaluation metrics for LLMs and conversational agents. Python, ML, PyTorch, TensorFlow