IMO Health · 3 days ago
Senior AI Engineer
Houston, TX
Full-time
Hybrid
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 that enhance access to reliable health information. The Senior AI Engineer will support the deployment and maintenance of machine learning models in production, ensuring they scale reliably and building the infrastructure that enables innovation in clinical data processing.
Health CareInformation Technology
Responsibilities
Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems
Build, deploy, and maintain CI/CD pipelines for machine learning 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, improving efficiency and consistency in retraining and deployment workflows
Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, with a focus on unstructured clinical data
Develop scalable inference pipelines and APIs to deliver AI capabilities into customer-facing solutions
Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments
Participate in system design and architecture discussions, bringing expertise in MLOps and AI deployment best practices
Ensure performance, reliability, and security of deployed models, optimizing for latency, throughput, and cost
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 and maintaining 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, and monitoring for machine learning systems
Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling) — healthcare domain exposure is a plus
Experience fine-tuning and deploying large language models (LLMs) and generative AI solutions
Strong problem-solving skills with the ability to design scalable, reliable 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
2025-07-07
Company data provided by crunchbase