At Servient, we're building Generative AI powered LegalTech. We're looking for a talented and motivated Large Language Model Developer to join our dynamic team and fine-tune and serve cutting-edge LLMs to bring efficiency to legal tasks. You'll be instrumental in optimizing these models for fine tuning and scalable inference capabilities on GPUs.

Responsibilities:

Design and implement NLP algorithms to work in conjunction with LLMs to analyze large legal documents, help legal professionals find evidence quickly and organize their evidence.
Collaborate with legal professionals to understand their workflows and come up with creative solutions to bring efficiency to these tasks
Develop custom training pipelines for utilizing the power of GPUs in LLM for inference.
Define and monitor various evaluation metrics for the NLP algorithms and continuously iterate to improve them.
Collaborate with NLP scientists, AI engineers, software developers to integrate LLMs into our products for legal tasks.
Stay up-to-date on the latest advancements in LLM research and development, actively contribute to knowledge sharing within the team.

Qualifications:

The ideal candidate should have 1-4 years of experience with a

Strong understanding of Natural Language Processing (NLP) concepts and techniques, including deep learning models for language generation.
Experience with supervised and unsupervised learning methodologies as applied to Natural language documents
Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and scikit-learn
Excellent software development skills with a focus on code quality, performance optimization, and maintainability.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, research-oriented environment.

Nice to have:

Experience in distributed computing and scaling machine learning models for production environments.
A keen understanding of NLP applications in your specific field of interest (e.g., healthcare, education, finance).

Servient, Inc

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