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# AI/ML Full Stack Engineer

- **Company:** Horizontal Talent
- **Location:** Rochester, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $116,480.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Machine Learning, Search Technologies, SQL Databases, Enterprise Software Applications, Cloud Platform System, Data Ingestion, Large Language Models, Model Validation, AI Platforms, Machine Learning Operations, Oracle Cloud Infrastructure, Docker
- **Published:** July 22, 2026
- **Apply:** https://www.disabledperson.com/jobs/73787947-ai-ml-full-stack-engineer

## About the Role

* Proficient in Python and SQL programming with hands-on experience in AI application development.
 * Experience with cloud AI platforms and tools like Vertex AI, SageMaker, and Docker.
 * Strong understanding of ML/NLP model evaluation and AI monitoring frameworks.
 * Excellent communication skills for effective collaboration across diverse teams.

Preferred Skills

 * Experience with healthcare, clinical, or life sciences data.
 * Advanced degree or certifications in AI, Machine Learning, or related fields.

At Horizontal, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity drives innovation and are dedicated to creating an environment that reflects the diverse communities we serve.

## Description

Join our team as a Senior AI/ML Engineer, where you'll have the opportunity to design and implement cutting-edge AI solutions that transform healthcare and enterprise applications. This remote role offers the chance to work on innovative projects with a focus on scalable AI systems and cloud-native platforms.
Responsibilities

 * Design and implement AI/ML solutions using advanced techniques like LLMs, RAG pipelines, and semantic search.
 * Develop robust frameworks for data ingestion, document processing, and API integration.
 * Monitor and enhance ML/NLP models, ensuring performance and safety standards are met.
 * Collaborate with cross-functional teams to gather requirements and deliver reliable AI solutions.
 * Support deployment and MLOps workflows on cloud platforms such as GCP, AWS, or OCI.


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