Intelligent Medical Objects (IMO)

Manager of Software Engineering

Intelligent Medical Objects (IMO)

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudJavaJavaScriptPythonPyTorchSDLCTensorflow

About the role

  • Intelligent Medical Objects (IMO) (Houston, TX) seeks a Manager of Software Engineering responsible for team productivity and career development, and executing the NLP and GenAI strategy aligned with product and technology roadmap.
  • Oversee the design, implementation, and optimization of AI and NLP solutions, ensuring scalability, high availability, compliance, and security in line with industry standards such as HIPAA, SOC 2, and other relevant regulations.
  • Collaborate with stakeholders to define AI and NLP strategies, aligning technical efforts with business objectives.
  • Lead research initiatives on Large Language Models (LLMs), exploring novel architectures, techniques, and methodologies.
  • Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate research findings into practical, user-centric applications.
  • Provide strategic direction for the adoption and integration of cutting-edge AI technologies.
  • Establish and maintain best practices for AI/ML and NLP development, focusing on scalability, reliability, and performance of AI-driven products.
  • Manage project timelines, resource allocation, and budgetary oversight, ensuring projects deliver high ROI and positively impact product functionality and user experience.
  • Collaborate with product management and other stakeholders to prioritize features and align resources effectively.
  • Cultivate a collaborative, innovative work environment, fostering continuous learning and upskilling in AI and NLP technologies.
  • Mentor team members, providing guidance on technical and professional growth.
  • Ensure AI solutions are developed and deployed in alignment with ethical standards, especially concerning the handling of sensitive healthcare data.
  • Maintain compliance with healthcare regulations, ensuring that AI applications meet all necessary legal and ethical requirements.
  • Required travel to Chicago, IL office once per quarter.

Requirements

  • A Master’s degree, or foreign equivalent, in Computer Science, or a closely related field of study, plus 5 years of experience in the job offered, or as a Software Developer, Software Engineer, or Machine Learning Engineer.
  • Must have 3 years of experience in: NLP, AI, ML, or advanced data science.
  • Must have 3 years of experience in: Working in the healthcare or life sciences domain with a focus on NLP or Generative AI (GenAI) applications.
  • Must have 3 years of experience in: Developing distributed and scalable systems, with a focus on high-volume transaction applications.
  • Must have 3 years of experience in: Working in a leadership or technical SME role.
  • Must have 3 years of experience in: Working with cloud platforms such as AWS, Azure, and Google Cloud, and infrastructure-as-code tools.
  • Must have 3 years of experience in: Working with network, system, and virtualization technologies.
  • Must have 3 years of experience in: Working in an Agile development environment, including close collaboration with cross-functional teams.
  • Must have 2 years of: Hands-on experience with LLMs such as GPT, Claude, LLaMA, or similar models.
  • Specific experience must also include: Leading and growing multidisciplinary teams by managing data scientists, software engineers, and researchers while fostering strong management practices, coaching, and mentoring to drive effective collaboration.
  • Specific experience must also include: Developing AI and NLP solutions by applying machine learning algorithms, including classification, regression, clustering, model selection, and feature extraction, while utilizing NLP frameworks like TensorFlow, PyTorch, and cloud-native AI/ML services.
  • Specific experience must also include: Leveraging technical expertise in programming languages like Java, Python, and JavaScript to design, develop, and optimize scalable, high-quality AI and NLP systems.
  • Specific experience must also include: Driving healthcare and pharmaceutical AI projects by delivering solutions for clinical trials, systematic literature reviews, and healthcare concept mapping, while ensuring compliance with HIPAA and other relevant regulations.
  • Specific experience must also include: Working with the full software development life cycle (SDLC), such as planning, requirements analysis, design, development, testing, deployment, delivery, operations, and maintenance.
  • Specific experience must also include: Developing best practices including coding standards, code reviews, version control, build processes, and testing workflows.
  • Required travel to Chicago, IL office once per quarter.
  • #LI-DNI