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Machine Learning Engineer
HíbridoTiempo completoAI & Machine LearningEnterprise SoftwareHR Technology
Design and develop machine-learning software products, analyze large-scale text data, and take models from experimentation to production. This hybrid role requires three office days and two work-from-home days each week.
Responsabilidades
- Design, build, and improve machine-learning software products
- Analyze and model large-scale textual data for prediction, classification, and decision support
- Develop and evaluate NLP and machine-learning models, including LLM and generative AI techniques when relevant
- Turn data analysis and experiments into prototypes, production code, and service integrations
- Monitor quality and performance through metrics, evaluation, and iterative improvement
- Collaborate with product, engineering, and research teams
Requisitos
- At least four years of experience in machine learning engineering, data science, software engineering, or a related technical role
- Strong Python skills and experience delivering and maintaining production code
- Knowledge of software engineering practices, including APIs, testing, CI/CD, observability, and maintainable code
- Experience with large-scale data, data modeling, and production systems
- Familiarity with machine learning, deep learning, and NLP, with hands-on experience in PyTorch, TensorFlow, or scikit-learn
- Bachelor’s degree in computer science or a related field
Se valora
- Experience with generative AI and large language models
- Master’s degree
Beneficios
- Hybrid work: three days in the office and two days from home
- Opportunities for career growth, learning, and collaboration