Machine Learning Engineer In Barcelona

buscojobs España; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in Barcelona is seeking a Machine Learning Engineer to develop and implement cutting-edge ML solutions. This role involves collaboration across teams to enhance multilingual capabilities and build scalable ML systems that impact global users. Ideal candidates will have a strong background in machine learning, software engineering, and excellent communication skills.

Formación

• 2+ years of experience in software engineering or applied machine learning.
• Proven ability to ship ML-based products with measurable impact.

Responsabilidades

• Work on state-of-the-art solutions involving agentic LLMs and multilingual learning.
• Design and implement systems to automate multilingual data creation and filtering.
• Coordinate across multiple engineering and research teams.

Conocimientos

Python

Machine Learning

Computational Linguistics

Communication

Educación

Master’s or PhD in Machine Learning

Herramientas

PyTorch

TensorFlow

Descripción del empleo

DataForce by TransPerfect is seeking a Machine Learning Engineer to join our team in Barcelona, Spain.

Role Summary

As a Machine Learning Engineer, you will 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

1. Work on state-of-the-art solutions involving agentic LLMs and multilingual learning.
2. Understand and influence how large language models (LLMs) acquire capabilities across different languages.
3. Design and implement systems to automate multilingual data creation and filtering.
4. Develop scalable methods to fine-tune LLMs in multiple languages.
5. Create automated evaluation systems for multilingual agent performance.
6. Contribute to and enhance existing ML systems and infrastructure.
7. Build and deploy ML-powered products that serve global users.
8. Coordinate across multiple engineering and research teams to ensure alignment and product quality.

Minimum Qualifications

• 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 cross-lingual modeling challenges.
• 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.

About DataForce

DataForce offers companies in technology, advertising, entertainment, and other industries reliable BPO and Data Collection & Annotation services. We help clients collect, label, and organize datasets used to train AI-powered models, working within proprietary or customer tools and environments.

DataForce is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in over 100 cities worldwide.

Additional Information

For more information, please visit our website. TransPerfect provides equal employment opportunities to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by law.