The company is seeking to integrate and deploy intelligent solutions using Microsoft technologies, specifically in building, operationalizing, and scaling ML models in real-world applications.
Requirements
- Solid understanding of machine learning fundamentals and model lifecycle.
- Proficiency in Python and/or C-Sharp, with experience in building and deploying ML models.
- Familiarity with Microsoft Azure, especially Azure Machine Learning, Azure DevOps, and Azure Functions.
- Basic experience with REST APIs, containers (e.g., Docker), and CI/CD pipelines.
- Exposure to ML.NET, Azure AI Studio, or Azure OpenAI Service.
- Experience with Power BI, Power Apps, or Power Automate for AI integration.
- Familiarity with AKS, Azure App Services, or Azure Logic Apps.
Responsibilities
- Assist in developing and training machine learning models using Azure Machine Learning, ML.NET, and Python.
- Support the integration of ML models into production systems and applications built on .NET, Azure Functions, and Power Platform.
- Contribute to the deployment and monitoring of models using Azure MLOps tools such as Azure DevOps, GitHub Actions, and Azure Kubernetes Service (AKS).
- Participate in model versioning, performance tracking, and retraining strategies to maintain model accuracy and reliability.
- Document workflows and contribute to best practices for scalable ML deployment.
- Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into business workflows.
- Support the integration of ML models into production systems
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Strong problem-solving and communication skills.
- 100% Hybrid work location in Akron, OH
- Ability to work in a cross-functional team
- Strong collaboration skills
