AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in AI/ML systems, software architecture, data engineering, and proficiency in Python, Java, or Scala. Location is hybrid (NYC/NJ).
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 16, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Queens County, NY
🧠 - Skills detailed
#NLP (Natural Language Processing) #PyTorch #NoSQL #Microservices #Data Modeling #Java #ML (Machine Learning) #Data Engineering #Cloud #Databases #Scala #Python #Strategy #TensorFlow #SQL (Structured Query Language) #AI (Artificial Intelligence)
Role description
Required Qualifications
Job Summary – AI Architect (NYC/NJ, Hybrid)
• Proven experience designing and implementing large-scale software and AI/ML systems.
• Deep expertise in AI/ML concepts, algorithms, techniques, and frameworks (e.g., TensorFlow, PyTorch, NLP, LLMs).
• Strong software architecture skills: microservices, APIs, data modeling, distributed/cloud-native systems.
• Experience designing and deploying agent-based or multi-agent systems.
• Solid understanding of data engineering principles, pipelines, databases (SQL/NoSQL), and data warehousing.
• Proficiency in Python, Java, Scala, or similar languages.
• Strong execution focus with ability to drive projects from strategy to completion.
Required Qualifications
Job Summary – AI Architect (NYC/NJ, Hybrid)
• Proven experience designing and implementing large-scale software and AI/ML systems.
• Deep expertise in AI/ML concepts, algorithms, techniques, and frameworks (e.g., TensorFlow, PyTorch, NLP, LLMs).
• Strong software architecture skills: microservices, APIs, data modeling, distributed/cloud-native systems.
• Experience designing and deploying agent-based or multi-agent systems.
• Solid understanding of data engineering principles, pipelines, databases (SQL/NoSQL), and data warehousing.
• Proficiency in Python, Java, Scala, or similar languages.
• Strong execution focus with ability to drive projects from strategy to completion.
