Protagonist is looking to solve complex communication problems and capitalize on opportunities to make a tangible impact for clients with missions that matter.
Requirements
- Deep expertise in modern NLP approaches including transformers, LLMs, and embedding models
- Strong Python skills and fluency with deep learning frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps tools and practices (MLflow, Kubeflow, Airflow, model registries)
- Proven experience with cloud infrastructure (AWS, GCP, or Azure) and Infrastructure as Code
- Knowledge of distributed computing frameworks (Spark, Ray) for large-scale data processing
- Experience with vector databases (Pinecone, Milvus, OpenSearch) and search optimization
- Familiarity with containerization, Kubernetes, and CI/CD pipelines
Responsibilities
- Partner with product, engineering, data science, and analysis teams to identify and execute high-impact NLP use cases
- Design and implement state-of-the-art NLP solutions with scalable pipelines for multi-modal, multi-language data, utilizing transformers, LLMs, and generative modeling techniques
- Architect cloud-native ML solutions leveraging containerization (Docker, Kubernetes) and MLOps best practices
- Implement RAG (Retrieval Augmented Generation) pipelines and vector search systems to enhance model performance
- Develop, optimize, and maintain production-ready ML systems and infrastructure with a focus on cost-efficiency, reliability, reproducibility, and real-world performance
- Build solutions for narrative detection, event classification, entity resolution, and other bespoke model applications
- Fine-tune and deploy language models for specific business domains with parameter-efficient methods (LoRA/PEFT)
Other
- U.S. person eligible to work on government contracts; active or prior SECRET clearance preferred
- Bachelor's degree with 7+ years of work experience or advanced degree with 5+ years of work experience in Computer Science, Machine Learning, or related technical field
- Effective communicator and cross-functional collaborator
- Strong self-starter comfortable with ambiguity and startup-like environments
- Prior experience managing direct reports is a plus
