Job Description
The ideal candidate will have a foundational understanding in contributing to building, finetuning, and deploying an NLP/AI pipeline to process live data. This team is actively hiring multiple roles and motivated to move quickly!
Core Responsibilities
- Perform technical analysis focused on NLP components and real-time transcription use cases
- Finetune and adapt LLMs for live customer data while ensuring performance, privacy, and latency requirements
- Collaborate with Data Analysts to translate ideas into actionable data products and features
- Develop and evaluate prompts, guidance, and retrieval strategies for the AI model
- Build and validate end-to-end workflows for processing streaming call data, extracting insights, and surfacing Next Best Offers to agents
- Ensure model outputs are interpretable, controllable, and explainable to stakeholders
- Document methodologies, results, and trade-offs; present findings clearly to non-technical partners
Required Skills/Experience (Must-Haves)
- Strong understanding of NLP techniques and language modeling concepts
- Experience with fine-tuning LLMs and prompt-based workflows
- Experience with text processing and string operations in Python
- Experience or interest in real-time/streaming data processing is beneficial
- Proficient in Python; strong SQL skills
- Experience with NLP libraries (e.g., spaCy, transformers) and familiarity with large-scale text data
- Comfortable with machine learning experimentation, model evaluation, and ablation studies
- Experience with or openness to K-Means Clustering, SVM as part of broader ML toolkit; emphasis on text-based modeling
- Ability to explain end-to-end processes, trade-offs, and results to both technical and non-technical audiences
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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