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Sr. Manager, NLP Engineering

Remote: 
Full Remote
Contract: 
Full time
Work from: 
Illinois (USA), Texas (USA)

Offer summary

Qualifications:

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., Proficiency in MLOps and cloud platforms (AWS, Azure)..

Key responsibilities:

  • Lead the development and integration of NLP and GenAI solutions.
  • Build and expand the NLP R&D and Engineering teams, fostering a culture of innovation.
  • Drive cross-functional collaboration with key stakeholders to identify NLP-driven advancements.
  • Ensure the successful deployment of AI models in production, adhering to best practices.

IMO Health logo
IMO Health http://www.imohealth.com
201 - 500 Employees
See all jobs

Job description

As the Sr. Manager, NLP Engineering at IMO Health, you will lead a team at the forefront of our business roadmap, driving the development and integration of cutting-edge NLP and GenAI solutions. With your deep technical expertise and leadership, you will shape the strategic vision for NLP at IMO Health, balancing hands-on guidance with high-level architectural direction. Your role will be pivotal in fostering team growth, optimizing system performance, and ensuring our NLP capabilities meet evolving market demands.

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. 
    •

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Natural Language Processing (NLP)Machine LearningDistributed ComputingData EngineeringSemantic AnalysisLarge Language ModelingIntelligent AgentMLOps (Machine Learning Operations)Predictive ModelingCloud ComputingAWS Cloud ServicesMicrosoft AzureInfrastructure as Code (IaC)

    Other Skills

    • Leadership
    • Collaboration
    • Communication
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