Senior ML/NLP Engineer (Contract)

Role OverviewYou will own the architecture, development, and continuous improvement of Sully.ai's NLP models powering the Receptionist and Assistant agents. Working cross-functionally with Product, Clinical, and Reliability Engineering, you'll translate clinical workflows into robust conversational AI solutions that meet HIPAA-level security and compliance requirements. What You'll Do• Architect NLP Pipelines. Design end-to-end pipelines for intent detection, entity extraction, and dialogue management using Hugging Face Transformers.• Fine-Tune Transformer Models. Adapt state-of-the-art architectures (e.g., BERT, GPT) on domain-specific data to optimize receptionist and assistant workflows, leveraging prompt engineering and RAG techniques. • Define Evaluation Frameworks. Establish benchmarks (F1-score, ROUGE, MMLU) and A/B test protocols to measure dialogue accuracy, user satisfaction, and model latency. • Deploy & Scale. Containerize models with Docker, serve via FastAPI, and orchestrate on Kubernetes for high availability and observability.• Lead MLOps Best Practices. Build CI/CD pipelines for model training, testing, and versioning; integrate monitoring and alerting for data drift and performance regressions. • Collaborate & Mentor. Partner with Product and Clinical teams to curate training data, refine user flows, and onboard new engineers into our NLP practice. What You'll Bring• 5+ years of software engineering experience, with 3+ years focused on ML/NLP in production settings. • Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow), with hands-on experience using Hugging Face Transformers.• Demonstrated success in fine-tuning and deploying transformer-based models for conversational AI or related NLP applications. • Experience building and scaling RESTful services with FastAPI, containerizing with Docker, and managing Kubernetes deployments. • Strong analytical skills and familiarity with evaluation metrics for NLP systems (F1, ROUGE, MMLU). • Excellent communication and collaboration skills in fast-paced, cross-functional teams. Tech Stack• Languages & Frameworks: Python, PyTorch/TensorFlow, Hugging Face Transformers.• APIs & Services: FastAPI, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins). • Cloud & Data: AWS/GCP/Azure, SQL/NoSQL databases. • AI & MLOps: Prompt engineering, RAG, model versioning, monitoring & alerting. Nice to Have• Prior experience in healthcare technology or familiarity with FHIR and HIPAA compliance. • Contributions to open-source NLP projects or publications in top-tier conferences. • Experience with retrieval-augmented generation (RAG) and prompt-tuning techniquesWhy Join Sully.ai?Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives. Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth. Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment. CompetitiveCompensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference. Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.Apply tot his job