Machine Learning Engineer - LLMs

March 16

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200

Description

• Design, implement, and train Language Models (LLMs) for NLP tasks • Train LLMs using state-of-the-art techniques and frameworks • Conduct research to enhance existing LLMs or develop novel models • Analyze model performance and iterate on development process • Collaborate with software engineers to deploy solutions into production environments

Requirements

• 3+ years experience in machine learning and deep learning with focus on NLP • Proficiency in Python and experience with TensorFlow, PyTorch, scikit-learn, and NLTK • Understanding of LLMs and transformer-based models like BERT, GPT • Knowledge of machine learning principles and techniques • Experience with cloud computing platforms and containerization technologies • Strong communication skills in English

Benefits

• Transparent workplace • Investment in career and professional growth • Strong focus on hiring passionate and smart people • Opportunity to work with intelligent and talented individuals • Investment in learning and growth • Commitment to change the way the world perceives technical talent in Latin America • Making positive impact in business locations • Accelerating careers and investing in talented data science engineers and data analysts • Fostering a work environment for collaboration and growth • Encouraging work-life balance and team activities