Eagle Eye Technologies

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer on a 12-month contract, remote. Requires 3+ years in C# and Python, 2+ years in AI/ML (OpenAI, NLP, LLMs), and Azure deployment experience. Skills in RESTful APIs, CI/CD, and Terraform are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
North Carolina, United States
-
🧠 - Skills detailed
#Monitoring #Model Evaluation #Consulting #Model Deployment #Infrastructure as Code (IaC) #ML (Machine Learning) #Logging #Azure #Azure DevOps #Programming #Cloud #Deployment #C# #NLP (Natural Language Processing) #Azure Machine Learning #Terraform #.Net #AI (Artificial Intelligence) #Python #DevOps #FastAPI #Scala
Role description
Need a genuine candidate with linkedin • Term: 12 months (Contract) • Work Location: Remote Polaris is seeking an AI/ML Engineer with strong hands-on experience in C# and Python to design, develop, deploy, and maintain AI/ML solutions on Azure. The role focuses on building scalable applications and RESTful APIs to serve ML models, implementing MLOps/CI-CD pipelines, and leveraging Azure AI services (including Azure AI Foundry and Azure Machine Learning) to deliver production-grade solutions. Required Qualifications • 3+ years of hands-on programming experience with C# and Python, including building scalable applications and integrating ML models. • 2+ years of AI/ML development experience focused on OpenAI Services, NLP and large language models (LLMs). • Practical experience designing, building, and managing RESTful APIs (C#/.NET and Python/FastAPI). • Proven experience deploying and operating ML models on Azure, including Azure Machine Learning, Azure AI Foundry, Azure Functions, and Azure DevOps. • Experience implementing CI/CD and MLOps best practices for automated model deployment and monitoring. • Experience with Terraform or similar IaC tools to manage cloud infrastructure. Desired Skills & Experience • Deep familiarity with Azure AI Foundry for model development, orchestration, and deployment. • Knowledge of model evaluation, validation techniques, and production monitoring (model drift, performance metrics, logging). • Consulting experience engaging directly with clients to deliver tailored technical solutions. • Strong problem-solving, communication, and collaboration skills.