ML Engineer (NLP Focus)

At ioet , a leading software company with a talented team across LATAM, we provide Software Engineering as a service to clients worldwide. Join us for exciting professional challenges, working on projects ranging from innovative startups to globally recognized brands. Our positions are full-time, remote, and offer competitive compensation in USD. We are looking for a Machine Learning Engineer with hands-on experience developing, training, and implementing NLP models . The ideal candidate has a strong background in Python and practical experience working with NLP frameworks, particularly spaCy , to build custom NER models, text classification solutions, and machine learning training pipelines. This role involves working with text-based datasets, preparing and labeling training data, and developing ML solutions for real-world applications. Experience with sensitive information detection, PII, or data privacy applications is especially valuable. Requirements: 3+ years with Python 3+ years working with ML , NLP development, or related positions Hands-on experience training, fine-tuning, and evaluating NLP or machine learning models. Experience with spaCy , ideally including custom NER, text classification, or training pipelines. Experience preparing, cleaning, annotating, and managing training datasets. Familiarity with at least one ML framework or library, such as PyTorch, Hugging Face Transformers, or scikit-learn. Strong English communication skills - Minimum B2 level proficiency Send your application and CV in English (mandatory) Based in Latin America Benefits: Remote work Flexible schedule Collaboration with international clients USD compensation Paid Holidays and Vacations Paid family and sick leaves English classes Educational and wellness bonus Structured career plan with regular salary reviews Emphasis on personal growth and mentorship Are you ready to be part of the ioet journey? Get your CV in English and Apply Now. If you are curious to know more about our culture, technologies, and blogs, visit www.ioet.com