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Position: Machine Learning Engineer
Institution: Suzy, Inc.
Location: United States
Duties: Collaborate with subject matter experts, software engineers, and product managers to define project goals, requirements, and timelines; Research, design, develop, implement, and evaluate cutting-edge machine learning models, to include natural language processing (NLP), natural language understanding (NLU), large language models (LLMs), and Reinforcement Learning solutions; Explore and evaluate open source and commercial machine learning techniques, frameworks, and technologies to continuously enhance our capabilities and drive innovation
Requirements: Bachelor's or master's degree in computer science, engineering, machine learning, artificial intelligence, or a related field; Proven experience (2+ years) working in the field of machine learning, with a strong track record of delivering successful machine learning projects; Expertise in designing and implementing machine learning models and algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn; Solid programming skills in Python, experience in building scalable and production-ready systems
   
Text: Machine Learning Engineer Collaborate with subject matter experts, software engineers, and product managers to define project goals, requirements, and timelines; Research, design, develop, implement, and evaluate cutting-edge machine learning models, to include natural language processing (NLP), natural language understanding (NLU), large language models (LLMs), and Reinforcement Learning solutions; Explore and evaluate open source and commercial machine learning techniques, frameworks, and technologies to continuously enhance our capabilities and drive innovation Bachelor's or master's degree in computer science, engineering, machine learning, artificial intelligence, or a related field; Proven experience (2+ years) working in the field of machine learning, with a strong track record of delivering successful machine learning projects; Expertise in designing and implementing machine learning models and algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn; Solid programming skills in Python, experience in building scalable and production-ready systems
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