Sr. NLP Engineer

Senior NLP Engineer

Location: [Remote] Department: AI / Data Science Engineering Reports to: Director of Machine Learning or VP of Engineering

🔍 Role Summary

We are hiring a Senior NLP Engineer to design and deploy advanced natural language processing solutions that unlock clinical and operational insights from healthcare data. Your work will directly support AI-driven personalized care programs for chronic conditions such as CKD, supporting care teams, patient outreach, and decision-making workflows.

This position demands current, hands-on experience in production-grade healthcare NLP—candidates must demonstrate real-world implementations, not just theoretical exposure.

🚀 Your Day-to-Day

• Collaborate with NLP team to design, build, and maintain efficient, reusable, and reliable code
• Architect scalable NLP pipelines using transformer models for tasks such as summarization, medical NER, classification, and retrieval
• Fine-tune models (e.g., BioGPT, ClinicalBERT, LoRA, RAG) on clinical and conversational datasets
• Implement classical NLP algorithms and data structures for specialized use cases
• Own architectural decisions and contribute to design standards, governance, and cross-team practices
• Monitor and improve model performance for robustness, privacy, and regulatory alignment
• Identify and resolve bottlenecks in the NLP stack
• Support code quality, organization, CI/CD pipelines, and AWS deployment automation
• Mentor and guide other NLP engineers, and share knowledge through tech talks and internal forums

🧰 You’re a Perfect Match If You Have

• 5+ years of commercial experience in Python development and NLP
• 2+ years of current real-world experience applying NLP in healthcare environments
• Deep theoretical and practical understanding of classical NLP and neural network–based NLP methods
• Strong foundation in classical ML algorithms and modern deep learning architectures
• Bachelor’s or higher degree in Computer Science, AI, or related technical field
• Upper-Intermediate+ level of English with excellent written communication
• Proficiency in Python NLP libraries: spaCy, NLTK, Scikit-learn, Keras, Hugging Face Transformers
• Solid grasp of algorithmic fundamentals and design patterns
• Git-savvy, experienced with DevOps tools and AWS infrastructure
• Knowledge of concurrency, high availability, scalability, and secure system design
• Ability to communicate architectural decisions, trade-offs, and emerging technology considerations
• Comfortable writing maintainable, modular Python code with OOP and functional programming principles
• Committed to lifelong learning and experimentation with new technologies
• Strong mentorship mindset and experience presenting at internal or external tech talks