Sr. Manager, NLP – AI Engineering

WHAT YOU'LL DO:

• Lead and scale a high-performing team of NLP engineers and applied scientists, instilling a culture of technical excellence, curiosity, and impact.
• Define and drive the strategic vision for NLP and Generative AI initiatives across IMO’s internal tools and client-facing products.
• Mentor and develop team members through structured feedback, goal setting, and tailored growth paths to support long-term career advancement.
• Provide hands-on technical leadership across architecture design, system scalability, and performance optimization for high-throughput NLP systems.
• Drive innovation by applying advanced NLP techniques—including LLMs, AI agents, semantic analysis, and predictive modeling—to complex healthcare problems.
• Collaborate cross-functionally with Product, Engineering, and Clinical Informatics to identify, scope, and deliver high-impact NLP-driven features and tools.
• Oversee model deployment in production environments, implementing robust MLOps pipelines, CI/CD workflows, and monitoring frameworks.
• Establish and refine team OKRs, implement Agile best practices, and promote strong documentation and reproducibility standards.
• Stay on the forefront of NLP research and GenAI advancements, bringing new insights into team strategy and solution design.
• Champion best practices in responsible AI, ensuring ethical, explainable, and equitable applications of language technologies in healthcare.

WHAT YOU'LL NEED:

• Master’s or PhD in Computer Science, Machine Learning, NLP, or a related field.
• 10+ years of experience in AI/ML and NLP, with proven success delivering production-grade NLP solutions.
• 5+ years of leadership experience, managing NLP or data science teams in a fast-paced, innovative environment.
• Strong domain experience in healthcare or life sciences, with a deep understanding of industry-specific data, standards, and challenges.
• Demonstrated expertise in applying modern NLP and LLMs (e.g., GPT-4, LLaMA 3, Claude) to real-world use cases.
• Advanced proficiency in Python and the ML/NLP ecosystem (e.g., Hugging Face, PyTorch, spaCy, Transformers).
• Proven track record of designing and scaling distributed systems and high-volume transactional applications.
• Deep experience with cloud platforms (AWS, Azure), MLOps tools (SageMaker, Lambda, Airflow), and infrastructure-as-code frameworks.
• Success managing global or distributed teams, with a focus on inclusion, accountability, and continuous improvement.
• Strong communication, planning, and stakeholder management skills, with the ability to influence technical direction across departments.

NICE TO HAVE:

• Prior experience in healthcare NLP use cases, such as clinical text extraction, terminology normalization, or medical coding.
• Contributions to open-source projects, academic publications, or industry research collaborations.