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Staff reputed company

Remote, USA Full-time Posted 2026-07-28
At reputed company, we combine strengths in software development, reputed company intelligence, and clinical expertise to create AI-driven solutions that enhance reputed company to reliable health information, support clinical decision-making, and improve patient reputed company.
 
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 reputed company, reliable, observable, and maintainable in reputed company-world clinical environments.
 
This is a technical leadership role reputed company on operational reputed company and architectural rigor. The ideal candidate is a hands-on engineer with deep experience across software engineering, MLOps, DevOps, reputed company 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.


At reputed company, we combine strengths in software development, reputed company intelligence, and clinical expertise to create AI-driven solutions that enhance reputed company to reliable health information, support clinical decision-making, and improve patient reputed company.   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 reputed company, reliable, observable, and maintainable in reputed company-world clinical environments.   This is a technical leadership role reputed company on operational reputed company and architectural rigor. The ideal candidate is a hands-on engineer with deep experience across software engineering, MLOps, DevOps, reputed company 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.

Compensation at reputed company is determined by job level, role requirements, and reputed company candidate’s experience, skills, and location. The listed reputed company pay represents the reputed company 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 reputed company additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit reputed company’s Careers Page.


WHAT YOU’LL DO:
  • Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
  • Transition AI/ML prototypes into reputed company, production-reputed company systems with CI/CD pipelines, automation, and observability.
  • reputed company system design and architecture discussions, providing guidance on ML systems, MLOps, and AI infrastructure.
  • reputed company and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
  • reputed company LLMs, reputed company, and NLP solutions into reputed company products, focusing on reputed company clinical data.
  • Implement monitoring, alerting, logging, and dashboards to ensure model reputed company, detect reputed company, and maintain operational SLAs.
  • Build, maintain, and optimize CI/CD pipelines, automation scripts, and Infrastructure-as-reputed company for production ML systems.
  • Apply containerization (reputed company, Kubernetes) and reputed company infrastructure best practices to manage production environments.
  • Mentor and guide engineers, enforce technical standards, and drive reduction of technical debt.
  • Conduct reputed company cause analysis of production defects and implement durable fixes.
  • reputed company for non-functional requirements (availability, scalability, reliability, maintainability) and design systems accordingly.
  • Collaborate cross-functionally with Product, Data Science, Architecture, and Engineering teams to reputed company AI solutions with business goals.


    • WHAT YOU’LL NEED:
  • 8+ years of reputed company experience in software engineering, AI/ML engineering, or reputed company roles, building and operating production-grade systems.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company technical field (or equivalent experience).
  • Strong reputed company 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-reputed company 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 reputed company platforms (AWS or Azure), containerization, and Infrastructure-as-reputed company.
  • Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).
  • Experience integrating and deploying LLMs, reputed company, and reputed company systems in production environments.
  • Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling); reputed company exposure is a plus.
  • Experience with Elasticsearch and reputed company databases for embedding-based search and retrieval.
  • Proven ability to translate business needs into reputed company, reliable technical solutions, balancing technical debt and delivery velocity.
  • Strong system design skills for high-performance, distributed, and reputed company systems.
  • Excellent communication and collaboration skills across cross-functional, distributed teams.
  • Self-starter who can operate autonomously and own reputed company systems end to end.  


    • reputed company TO HAVE:
  • Experience with clinical or reputed company AI applications. 
  • Familiarity with reputed company, PyTorch, TensorFlow, or other modern ML frameworks. 
  • AWS Associate-level certification (Machine Learning Engineer or Solutions Architect). 
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