> Markdown version of [/jobs/ext/188778-ml-platform-engineer](https://www.wearedevelopers.com/jobs/ext/188778-ml-platform-engineer). 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). --- # ML Platform Engineer - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, IBM DB2, DevOps, Machine Learning, Azure Machine Learning, Spring-boot, Deep Learning, Information Technology, Restful APIs - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=55b98ceddaf57e26 ## About the Role * Bachelor's degree in computer science, Information technology or equivalent professional experience * Model development & deployment * REST API integration for ML models * Python or Java * DB2 * Spring Boot * Rest APIs * Basic DevOps (CI/CD) * CoPilot Preferred skills and qualifications: * Experience with NLP, deep learning * Cloud ML platforms (AWS SageMaker, Azure AI) ## Description We are seeking Mid-Level AI/ML Engineer. The ideal candidate will have expertise in AI / ML designing, developing, and deploying machine learning models and algorithms to solve complex problems and enhance products., * Model Development: Design and develop machine learning models and algorithms to address specific business needs and challenges. * Data Analysis: Analyze large and complex datasets to extract actionable insights and identify patterns. * Collaboration: Work closely with data scientists, software engineers, and cross-functional teams to integrate models into production systems. * Documentation: Maintain thorough documentation of AI/ML models, experiments, and processes to ensure replicability and knowledge sharing. ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)