Staff AI MLOps Engineer Clinical AI
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At IMO Health we combine strengths in software development artificial intelligence and clinical expertise to create AI-driven solutions that enhance access to reliable health information support clinical decision-making and improve patient outcomes.
We are seeking a Staff AI / MLOps Engineer to join our Software Engineering organization owning the end-to-end machine learning lifecycle for production AI systems. This role is responsible for designing building deploying operating and evolving AI-powered systems that are scalable reliable observable and maintainable in real-world clinical environments.
This is a technical leadership role focused on operational excellence and architectural rigor. The ideal candidate is a hands-on engineer with deep experience across software engineering MLOps DevOps cloud infrastructure and data systems capable of owning ML systems from initial design through long-term production operation monitoring retraining and retirement. You will partner closely with data scientists product teams and platform engineers to ensure AI models successfully transition from research to durable production-grade systems.
WHAT YOULL DO:
- Own the full ML lifecycle including data ingestion training validation deployment monitoring retraining and retirement.
- Transition AI/ML prototypes into scalable production-ready systems with CI/CD pipelines automation and observability.
- Lead system design and architecture discussions providing guidance on ML systems MLOps and AI infrastructure.
- Develop and maintain AI-driven applications and inference services optimizing for performance scalability reliability and cost.
- Integrate LLMs generative AI and NLP solutions into IMO Health products focusing on unstructured clinical data.
- Implement monitoring alerting logging and dashboards to ensure model quality detect drift and maintain operational SLAs.
- Build maintain and optimize CI/CD pipelines automation scripts and Infrastructure-as-Code for production ML systems.
- Apply containerization (Docker Kubernetes) and cloud infrastructure best practices to manage production environments.
- Mentor and guide engineers enforce technical standards and drive reduction of technical debt.
- Conduct root cause analysis of production defects and implement durable fixes.
- Advocate for non-functional requirements (availability scalability reliability maintainability) and design systems accordingly.
- Collaborate cross-functionally with Product Data Science Architecture and Engineering teams to align AI solutions with business goals.
WHAT YOULL NEED:
- 8 years of professional experience in software engineering AI/ML engineering or related roles building and operating production-grade systems.
- Bachelors or Masters degree in Computer Science Engineering or a related technical field (or equivalent experience).
- Strong foundation in computer science fundamentals (data structures algorithms design patterns operating systems networking).
- Expert-level coding skills in Python or Java with a strong emphasis on production-quality software engineering practices.
- Hands-on experience owning ML systems in production including deployment monitoring retraining and optimization.
- Experience designing and operating CI/CD pipelines automation and observability for ML systems.
- Deep experience with cloud platforms (AWS or Azure) containerization and Infrastructure-as-Code.
- Experience with MLOps tools and workflows (e.g. MLflow SageMaker Kubeflow).
- Experience integrating and deploying LLMs generative AI and agentic systems in production environments.
- Working knowledge of NLP concepts (tokenization embeddings classification sequence modeling); healthcare exposure is a plus.
- Experience with Elasticsearch and vector databases for embedding-based search and retrieval.
- Proven ability to translate business needs into scalable reliable technical solutions balancing technical debt and delivery velocity.
- Strong system design skills for high-performance distributed and scalable systems.
- Excellent communication and collaboration skills across cross-functional distributed teams.
- Self-starter who can operate autonomously and own complex systems end to end.
NICE TO HAVE:
- Experience with clinical or healthcare AI applications.
- Familiarity with Hugging Face PyTorch TensorFlow or other modern ML frameworks.
- AWS Associate-level certification (Machine Learning Engineer or Solutions Architect).
$170000 - $250000 a year
Compensation at IMO Health is determined by job level role requirements and each candidates experience skills and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMOHealth also offers a comprehensive benefits package. To learn more please visitIMO Healths Careers Page.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
From clinical terminology to streamlined workflows to data standardization, we enable insights that help improve patient care across the healthcare ecosystem.
