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Senior AI Engineer – Clinical AI

2 hours, 39 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Agile AWS Azure CI/CD Docker Generative AI Hugging Face Java Kubeflow Kubernetes LLM MLflow MLOps NLP Python PyTorch 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, model training, validation, deployment, monitoring, retraining, and retirement.
  • Transition AI/ML prototypes into scalable, production-ready systems.
  • Build, deploy, and maintain CI/CD pipelines for ML models.
  • Design and implement cloud-based infrastructure for training, inference, and monitoring of AI models.
  • Automate repetitive ML lifecycle tasks to improve efficiency, consistency, and reliability.
  • Integrate large language models, generative AI, and NLP solutions into Clinical AI products focused on unstructured clinical data.
  • Develop scalable inference pipelines and APIs for customer-facing AI capabilities.
  • Apply containerization and Infrastructure-as-Code to manage production environments.
  • Implement monitoring, alerting, and performance dashboards to maintain model quality and detect drift.
  • Optimize deployed models for latency, throughput, reliability, and cost efficiency.

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 software engineering best practices.
  • Hands-on experience deploying, maintaining, and scaling ML models in production environments.
  • Proficiency 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.
  • Familiarity with CI/CD pipelines, automation, monitoring, and observability for ML systems.
  • Working knowledge of NLP concepts such as tokenization, embeddings, classification, and sequence modeling; healthcare domain exposure is a plus.
  • Experience fine-tuning and deploying LLMs and generative AI solutions.
  • Strong communication and collaboration skills in cross-functional, distributed teams; ability to work independently and contribute from day one.
  • Experience with clinical or healthcare AI applications is preferred.
  • Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks is preferred.
  • Prior exposure to agentic AI and generative AI applications is preferred.
  • AWS Associate-level certification (Machine Learning Engineer or Solutions Architect) is preferred.

Benefits

  • $140,000 - $200,000 base salary.
  • Potential bonuses or sales incentives as part of total compensation.
  • Comprehensive benefits package.
  • Remote work opportunity.
  • Full-time position.

Interested in this position?

Apply directly on the company website

Apply Now

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