Remote Senior AI/ML Scientist — LLM/NLP

AgileGrid Solutions; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Jobleads-US seeks an experienced AI/ML Scientist to join our team, working remotely across the United States. You will advance large language models and NLP capabilities, shape responsible AI standards, and collaborate with world-class researchers to deliver scalable, real-time AI solutions.

Responsibilities include designing and evaluating models, staying current with DL advances, and supporting production deployment while mentoring teammates in a collaborative, remote environment.

Qualifications

• Master's or Ph.D. in Computer Science, Data Science, AI, ML.
• Experience in developing & deploying large NLP/LLM models.
• Strong knowledge of TensorFlow, PyTorch, or similar DL frameworks.
• Experience with scalable model design and real-time processing.
• Familiarity with responsible AI and model interpretability.
• Excellent collaboration and remote-work skills.

Responsibilities

• Design, develop, and optimize NLP/LLM models for real-time applications.
• Collaborate with cross-functional teams to translate business challenges into AI solutions.
• Contribute to responsible AI standards and ethical model practices.
• Stay updated on deep learning advances and apply new techniques to projects.
• Support production deployment and ensure scalable, reliable AI systems.
• Participate in code reviews and mentorship to foster team growth.

Skills

NLP/LLM development

Real-time processing

Remote collaboration

Model deployment

Responsible AI practices

Education

Master's or Ph.D. in CS/AI/ML

Tools

TensorFlow

PyTorch

Job description

Jobleads-US seeks an experienced AI/ML Scientist to join our team, working remotely across the United States. You will advance large language models and NLP capabilities, shape responsible AI standards, and collaborate with world-class researchers to deliver scalable, real-time AI solutions.

Responsibilities include designing and evaluating models, staying current with DL advances, and supporting production deployment while mentoring teammates in a collaborative, remote environment.