1 день назад
Senior AI/ML Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI/ML Engineer (LLM): Designing, developing, and deploying scalable machine learning systems for healthcare and real-world evidence generation with an accent on production LLM applications, clinical data, and enterprise reliability. Focus on translating state-of-the-art research into production, building RAG and monitoring capabilities, and ensuring model quality through drift detection and observability.
Location: United States; hybrid work in Research Triangle Park, North Carolina, with three days per week in the office
Company
builds longitudinal, multimodal real-world evidence solutions for pharmaceutical, biotech, provider, and payer organizations.
What you will do
- Design, develop, and deploy scalable machine learning systems for healthcare analytics and real-world evidence generation.
- Translate state-of-the-art LLM research into production-ready solutions for researchers, statisticians, clinical teams, and customers.
- Work with large-scale structured and unstructured clinical data in a cloud-based environment.
- Develop model-quality features such as drift detection, performance monitoring, observability, logging, and error handling.
- Collaborate with software engineers, data scientists, research scientists, and product managers to build reliable ML-native enterprise platforms.
- Contribute to ML engineering standards through code reviews, documentation, technical mentorship, and cross-functional communication.
Requirements
- 5+ years of experience in backend and cloud platform software development.
- Fluency in Python.
- Strong familiarity with modern machine learning and LLM techniques, frameworks, and tooling.
- Experience developing and maintaining high-performing, scalable, data-centric enterprise software products.
- Strong problem-solving, technical design, documentation, and communication skills.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
Nice to have
- Experience developing end-to-end ML systems from design and training through inference, deployment, and monitoring.
- Production experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation.
- Experience with RAG infrastructure, including data vectorization, vector stores, and search methodologies.
- Background in healthcare, clinical informatics, or life sciences, including EHR, claims, or registry data.
Culture & Benefits
- Hybrid work with three days per week in a new office.
- Health, dental, and vision insurance for employees and their families.
- 401(k) with company match.
- Generous paid time off and company holidays.
- Paid parental leave.
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