Largeton Group

AI/ML Engineer – Azure & C#

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer – Azure & C#, offering a hybrid position in Medina, MN, with a contract length of "unknown". Pay rate is "unknown". Requires 3+ years in C# and Python, Azure services expertise, and consulting experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 31, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Medina, MN
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🧠 - Skills detailed
#Deployment #Computer Science #Consulting #Monitoring #AWS (Amazon Web Services) #Unsupervised Learning #Azure Machine Learning #GitHub #Data Exploration #C# #Terraform #DevOps #NLP (Natural Language Processing) #Programming #Python #Data Science #Infrastructure as Code (IaC) #ML (Machine Learning) #Scala #AI (Artificial Intelligence) #Cloud #Supervised Learning #Azure #API (Application Programming Interface) #.Net #Azure DevOps #Model Deployment #FastAPI
Role description
• Role: AI/ML Engineer – Azure & C# • Location: Hybrid in Medina, MN (Local candidates only) Senior candidate Technical Skills & Experience • 3+ years hands-on programming experience with C# and Python for scalable apps and ML integration • Proficient in developing and managing RESTful APIs using C# (.NET) and Python (FastAPI) • End-to-end ML model deployment, monitoring, and maintenance on Azure (preferred) or AWS • Strong expertise with Azure services: Azure Machine Learning, Azure AI Foundry, Azure Functions, Azure DevOps • Experience with Azure AI Foundry for model orchestration and deployment • Applied data science skills: data exploration, feature engineering, model selection, and validation (supervised & unsupervised learning) • 2+ years AI/ML development, especially in OpenAI Services, NLP, and LLMs • Infrastructure-as-code (IaC) experience using Terraform for Azure resources • CI/CD and MLOps workflow implementation with Azure DevOps and GitHub Key Responsibilities • Design and implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search • Develop and manage RESTful API endpoints for ML models and data services • Automate model deployment with CI/CD pipelines and MLOps • Provision and manage cloud infrastructure securely and repeatably via Terraform • Engage with clients in a consulting environment to deliver tailored AI/ML solutions Education & Experience • Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent work experience) • Prior consulting experience preferred Note If you need a version ready for LinkedIn or a resume, or if you need phone/email formatting, let me know!