Sr. Manager, NLP Engineering
United States
IMO Health
IMPACT YOU'LL MAKE:
- Product Development & Innovation: Define and execute a strategic vision for NLP and GenAI at IMO, leveraging advanced machine learning techniques, including Large Language Models (LLMs), to enhance product capabilities and deliver customer value.
- Operational Efficiency & Scalability: Lead the development of distributed, high-performance NLP systems that scale to meet the demands of complex healthcare data environments.
- Customer-Centric Solutions & Market Leadership: Collaborate with Product Management, Terminology Solutions, and Enterprise Architecture teams to embed NLP and GenAI innovations into IMO's products, ensuring we stay ahead of industry trends.
WHAT YOU'LL DO:
- Build and expand the NLP R&D and Engineering teams, fostering a culture of innovation, collaboration, and technical excellence.
- Define and execute a strategic vision for NLP and GenAI applications across internal and external IMO products.
- Mentor and coach a diverse team of NLP scientists and engineers, guiding their professional growth through structured feedback and career development initiatives.
- Provide hands-on leadership in system architecture, scalability, and process improvements.
- Drive cross-functional collaboration with key stakeholders to identify opportunities for NLP-driven advancements.
- Establish clear performance expectations, track key objectives and results (OKRs), and implement best practices for Agile development.
- Apply state-of-the-art NLP techniques—LLMs, AI agents, semantic analysis, predictive modeling, and more—to solve real-world healthcare challenges.
- Ensure the successful deployment of AI models in production, adhering to best practices in MLOps, cloud computing, and data engineering.
- Promote a culture of continuous learning, staying ahead of advancements in NLP, AI, and healthcare technology.
WHAT YOU'LL NEED:
- Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related field.
- 10+ years of experience in Natural Language Processing & AI.
- 5+ years of leadership experience managing NLP or data science teams.
- 5+ years in the Healthcare or Life Sciences domain.
- Proven experience applying LLMs (e.g., GPT-4, Llama 3) and machine learning algorithms to NLP problems.
- Strong expertise in distributed/scalable system development and high-volume transaction applications.
- Proficiency in MLOps and cloud platforms (AWS, Azure), including Lambda, SageMaker, and infrastructure-as-code for LLM deployments.
- Experience managing global teams and fostering high-performance engineering cultures.
- Exceptional communication and stakeholder management skills, with a track record of driving cross-functional collaboration.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Computer Science Engineering Generative AI GPT GPT-4 Healthcare technology Lambda LLaMA LLMs Machine Learning MLOps NLP OKR Predictive modeling R R&D SageMaker Semantic Analysis Statistics
Perks/benefits: Career development
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