IMO Health · 1 week ago
Senior AI / MLOps Engineer – Clinical AI
Chicago, IL
Full-time
Onsite
Senior Level
$140K/yr - $200K/yr
5+ years expIMO Health combines strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They are seeking a Senior AI / MLOps Engineer to own the entire machine learning lifecycle, ensuring the operationalization of AI models and infrastructure for clinical data processing.
Health CareInformation Technology
Responsibilities
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
Qualification
Required
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
Preferred
Experience with clinical or healthcare AI applications
Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks
Prior exposure to agentic AI and generative AI applications
AWS Associate-level certification (Machine Learning Engineer or Solutions Architect)
Benefits
Comprehensive benefits package
Company
IMO Health
IMO Health is a clinical data intelligence business at the heart of a digital revolution in healthcare.
201-500 employees
H1B Sponsorship
IMO Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (10)
2023 (6)
2022 (4)
2021 (10)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Ascension VenturesWarburg Pincus
2022-03-31Acquired
2017-02-17Series Unknown
2016-10-10Private Equity
Leadership Team
Ann Barnes
Chief Executive Officer
Recent News
Company data provided by crunchbase