N
AI Engineer
Nextlex
3 hours ago
Full-time
On-site
San Francisco, California, United States
Design, build, and deploy the core machine learning models that power Nextlex's intelligence layer. This role transforms fragmented legal data into actionable insights, teaching the platform to understand, anticipate, and streamline complex legal workflows.
Key Responsibilities
Develop, optimize, and maintain production-ready AI/ML models, especially NLP and information-extraction systems. Build and manage data pipelines for training, testing, and deploying large-scale models. Collaborate with AI Researchers to scale prototypes into production models. Ensure model interpretability, reliability, and security within a sensitive legal tech environment. Qualifications
3+ years of experience building and deploying ML/AI systems. Strong Python skills and experience with TensorFlow or PyTorch. Solid understanding of MLOps, containerization (Docker), and cloud platforms (AWS/GCP/Azure). Proven ability to handle large, unstructured datasets. Preferred Experience
NLP specialization (summarization, topic modeling, relationship extraction). Knowledge of LLM architectures and fine-tuning. Familiarity with legal data types and compliance constraints.
#J-18808-Ljbffr
Develop, optimize, and maintain production-ready AI/ML models, especially NLP and information-extraction systems. Build and manage data pipelines for training, testing, and deploying large-scale models. Collaborate with AI Researchers to scale prototypes into production models. Ensure model interpretability, reliability, and security within a sensitive legal tech environment. Qualifications
3+ years of experience building and deploying ML/AI systems. Strong Python skills and experience with TensorFlow or PyTorch. Solid understanding of MLOps, containerization (Docker), and cloud platforms (AWS/GCP/Azure). Proven ability to handle large, unstructured datasets. Preferred Experience
NLP specialization (summarization, topic modeling, relationship extraction). Knowledge of LLM architectures and fine-tuning. Familiarity with legal data types and compliance constraints.
#J-18808-Ljbffr