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Intelligent Medical Objects (IMO)

Senior AI Engineer – Clinical AI

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500Since 1993H1B No SponsorCompany SiteLinkedIn

Location

Illinois + 1 moreAll locations: Illinois, Texas

Posted

12 days ago

Salary

$140K - $200K / year

Bachelor Degree5 yrs expEnglishAWSAzureCloudDockerJavaKubernetesPython

Job Description

• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, retraining, and retirement. • Transition AI/ML models from prototypes into scalable, production-ready systems. • Build, deploy, and maintain CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability. • Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models. • Automate repetitive ML lifecycle tasks to improve efficiency, consistency, and reliability in retraining and deployment workflows. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, focusing on unstructured clinical data. • Develop scalable inference pipelines and APIs to deliver AI capabilities to customer-facing solutions. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Implement monitoring, alerting, and performance dashboards to ensure model quality, detect drift, and maintain operational SLAs. • Optimize deployed models for latency, throughput, reliability, and cost efficiency. • Participate in system design and architecture discussions, providing expertise in MLOps and AI deployment best practices. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.

Job Requirements

  • 5+ years of professional experience in software engineering, AI/ML engineering, or related roles.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
  • Strong coding skills in Python or Java, with experience in software engineering best practices.
  • Hands-on experience deploying, maintaining, and scaling ML models in production environments.
  • Proficiency with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.
  • Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).
  • Familiarity with CI/CD pipelines, automation, monitoring, and observability for ML systems.
  • Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling); healthcare domain exposure is a plus.
  • Experience fine-tuning and deploying LLMs and generative AI solutions.
  • Strong problem-solving skills with the ability to design scalable, reliable, and maintainable ML systems.
  • Excellent communication and collaboration skills in cross-functional, distributed teams.
  • Self-starter with the ability to work independently and contribute from day one.

Benefits

  • IMO Health offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.

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