ML Infrastructure Architect
OpenKyber LLC
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Data Structures
Software Debugging
Python (Programming Language)
Object-Oriented Software Development
Tensorflow
Workflow Management Systems
Pytorch
Large Language Models
Prompt Engineering
HuggingFace
+5 more
Machine Learning Operations
Asynchronous Programming
Api Design
GPT
Software Library
Requirements
- Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
- LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
- Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
- Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
- Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
- API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
- Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
- Ability to develop workflow automation via an agentic framework Azure experience preferred
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