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Staff AI Engineer - Clinical AI

2 weeks, 6 days ago
United States
Full-time
Lead
AI Engineer
DevOps and Infrastructure
AWS Azure CI/CD Docker Elasticsearch Generative AI Hugging Face Java Kubeflow Kubernetes LLM Machine Learning MLflow MLOps NLP Python PyTorch SageMaker System Design TensorFlow
Apply Now
Intelligent Medical Objects

Intelligent Medical Objects

IMO is a leading healthcare data enablement company with expertise in clinical terminology and precise data capture at the point of care, empowering informed decisions for improved patient care.

IT Services
251-1K
Founded 1994
View All Jobs 5

Description

  • Own the full machine learning lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
  • Transition AI and ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
  • Lead system design and architecture discussions for ML systems, MLOps, and AI infrastructure.
  • Develop and maintain AI-driven applications and inference services optimized for performance, scalability, reliability, and cost.
  • Integrate LLMs, generative AI, and NLP solutions into products that work with unstructured clinical data.
  • Implement monitoring, alerting, logging, and dashboards to track 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 and cloud infrastructure best practices to production environments.
  • Mentor engineers, enforce technical standards, and drive reduction of technical debt.
  • Conduct root cause analysis of production defects and implement durable fixes.
  • Collaborate cross-functionally with Product, Data Science, Architecture, and Engineering teams to align AI solutions with business goals.

Requirements

  • 8+ years of professional experience in software engineering, AI/ML engineering, or related roles building and operating production-grade systems.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • Strong computer science fundamentals, including data structures, algorithms, design patterns, operating systems, and networking.
  • Expert-level coding skills in Python or Java with 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 such as AWS or Azure, containerization, and Infrastructure-as-Code.
  • Experience with MLOps tools and workflows such as MLflow, SageMaker, or Kubeflow.
  • Experience integrating and deploying LLMs, generative AI, and agentic systems in production environments.
  • Working knowledge of NLP concepts such as tokenization, embeddings, classification, and 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 while 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.
  • Ability to operate autonomously and own complex systems end to end.
  • Experience with clinical or healthcare AI applications is preferred.
  • Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks is preferred.
  • AWS Associate-level certification, such as Machine Learning Engineer or Solutions Architect, is preferred.

Benefits

  • Base salary range of $170,000 to $240,000 per year.
  • Potential bonuses or sales incentives as part of the total compensation package.
  • Comprehensive benefits package.
  • Remote full-time role with U.S. location options including Houston, Chicago, and Rosemont.
  • Opportunity to work on AI systems in a clinical and healthcare context.

Interested in this position?

Apply directly on the company website

Apply Now

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