AWS Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS AI Engineer in Cincinnati, Ohio, offering a hybrid contract. Key skills include proficiency in Python, AWS tools, and AI/ML concepts. Experience with cloud platforms and orchestration frameworks is required. Pay rate is unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 20, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#AWS (Amazon Web Services) #AI (Artificial Intelligence) #ML (Machine Learning) #R #GitHub #Data Analysis #Scala #Visual Studio #Cloud #Kubernetes #Data Science #Python #Azure #GCP (Google Cloud Platform) #Langchain #Jupyter #Data Pipeline #Docker
Role description
Role: AWS AI Engineer Location: Cincinnati, Ohio Required Skills: β€’ This role is hybrid between an AI engineer , data scientist and software developer, designed for someone who can operate across the full lifecycle of AI system development. β€’ The wok involves using AWS tools to design and build AI driven systems – not just training or fine-tunning models , but also crafting effective prompts, validating model performance through data analysis and managing risk like hallucinations or bias β€’ The role required building prototype level data pipelines that move data to and from models for training, evaluation and review. β€’ Strong software development skills with proficiency in python, Jupyterhub, Github, visual studio, etc. β€’ Exposer to designing and building agentic workflows or multi-agent system β€’ Familiarity with orchestration frameworks ( e.g langChain, AutoGen, CrewAI or similar ) β€’ Solid understanding of AI/ML concepts including LLMs and prompt engineering β€’ Experience with cloud platforms ( e.g. AWS, Azure,GCP) and containerization ( Docker, Kubernetes ) β€’ Excellence problem solving and communications skills Responsibilities: β€’ Develop and integrate AI models into production-grade applications β€’ Collaborate with cross functional teams to gather requirements and deliver AI-driven solutions β€’ Implement orchestration logic for multi-agent systems and tasks β€’ Write clean, scalable and maintainable code in support of AI initiatives β€’ Monitor and optimize the performance of AI systems in production β€’ Stay current with advancement in AI,LLMs, and Genetic architectures . Regards Praveen Kumar Talent Acquisition Group – Strategic Recruitment Manager praveen.r@themesoft.com| Themesoft Inc