> Markdown version of [/jobs/ext/2249144-applied-ai-scientist](https://www.wearedevelopers.com/jobs/ext/2249144-applied-ai-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Scientist - **Company:** Vantor Inc. - **Location:** Myrtle Point, OR, United States - **Salary:** $135,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Information Engineering, Monitoring of Systems, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Deep Learning, Machine Learning Operations, Api Design - **Published:** August 26, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2941413132-2 ## About the Role * Python * Machine learning * Deep learning * NLP or computer vision * Data engineering * MLOps/ML pipelines * Cloud platforms (AWS/Azure/GCP) * SQL and No * SQL databases * Model monitoring and evaluation * API development ## Description Vantor is seeking an Applied AI Scientist to design, build, and deploy data-driven solutions across modern web and cloud platforms. You will develop and productionize machine learning models, build AI-powered features, and collaborate with engineers, product teams, and clients to solve real business problems. Responsibilities include data exploration, feature engineering, model experimentation, evaluation, and MLOps practices for scalable, reliable delivery. You'll work in agile teams, contribute to technical design, mentor peers, and continuously refine solutions based on outcomes and measurable client impact., * Design, train, and evaluate machine learning models for client solutions. * Translate business requirements into data and AI solution designs. * Perform data exploration, cleaning, and feature engineering. * Build and maintain ML pipelines and MLOps workflows in the cloud. * Collaborate with engineers to integrate models into production systems and APIs. * Monitor, test, and improve model performance and reliability over time. * Contribute to solution architecture and technical design discussions. * Work in agile teams, providing clear communication to stakeholders. * Document models, experiments, and deployment processes. * Mentor peers and contribute to best practices for AI at Vantor. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [AI in the Open and in Browsers - Tarek Ziadé](https://www.wearedevelopers.com/videos/1787-ai-in-the-open-and-in-browsers-tarek-ziade) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)