BlueRose Technologies
Senior AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer on a contract basis, offering a competitive pay rate. Key skills required include MLOps, Azure ML, Databricks, AWS SageMaker, and experience with adaptive AI frameworks. Strong expertise in building scalable APIs and microservices is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 15, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Langchain #Scala #API (Application Programming Interface) #Docker #AWS SageMaker #Azure #Microservices #Monitoring #FastAPI #SageMaker #AWS (Amazon Web Services) #ML (Machine Learning) #Databricks #Kubernetes #Flask
Role description
• Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
• Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
• Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
• Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.
• Develops and optimizes AI applications for production, ensuring seamless integration with enterprise systems and front-end applications.
• Builds scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes to serve AI models in real-world environments
• Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
• Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
• Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
• Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.
• Develops and optimizes AI applications for production, ensuring seamless integration with enterprise systems and front-end applications.
• Builds scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes to serve AI models in real-world environments
