MLOps

Role : AI / ML Engineer Location : Charlotte, NC (Onsite) Visa : Any Responsibilities :

• Design, train, and optimize small- to medium-scale NLP models for token or entity classification tasks.
• Develop data processing, labeling, and evaluation pipelines using Python, Pandas, and PyTorch.
• Apply model compression, quantization, pruning, and distillation techniques to enhance model efficiency.
• Experiment with embeddings, sequence labeling architectures (e.g., BiLSTM-CRF, CNN-RNN hybrids), and attention-based mechanisms within non-LLM frameworks.
• Build reproducible training workflows, conduct error analysis, and iterate model improvements based on metrics and qualitative feedback.
• Collaborate with engineering and product teams to deploy and monitor models in production environments.

Required Qualifications

Preferred Qualifications (Nice-to-Have)