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Staff AI Engineer

18 hours, 27 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS Azure CI/CD Docker Elasticsearch Generative AI Hugging Face Java Kubeflow Kubernetes LLM Machine Learning 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 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 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 Docker, Kubernetes, and cloud infrastructure best practices to manage production environments.
  • Mentor engineers, enforce technical standards, reduce technical debt, and drive durable fixes for production defects.
  • 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 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.
  • Self-starter who can operate autonomously and own complex systems end to end.
  • Experience with clinical or healthcare AI applications, preferred.
  • Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks, preferred.
  • AWS Associate-level certification in Machine Learning Engineer or Solutions Architect, preferred.

Benefits

  • Base salary range of $170,000 to $240,000 per year.
  • Potential bonus or sales incentive opportunities as part of total compensation.
  • Comprehensive benefits package.
  • Remote work arrangement.
  • Opportunity to work on AI-driven healthcare and clinical decision-support systems.

Interested in this position?

Apply directly on the company website

Apply Now

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