Role: Enterprise Architect - onsite
Skills: Python
Description:
AI Architect
- Create overarching solution architecture.
- Define the vision for AI programs with extensive experience.
- Establish AI standards and guidelines for the enterprise.
- Specialize in large language models and frameworks vector databases and cloud deployments.
- Implement Responsible AI techniques including strategy and execution.
Skills
- Expertise in AI specialization particularly in large language models and frameworks.
- Experience with vector databases and cloud deployments.
AI Engineer
- Develop AI solutions including requirements definition design cloud-native development deployment and integration.
- Experience developing solutions using languages like Python and C.
- Develop AI applications utilizing AI services from AWS Azure and Google Cloud.
- Proficient in prompt engineering (Zero One few shot prompting Chain of Thought) and prompt design.
- Understand deep learning concepts autoencoders optimization convolutional neural networks and natural language processing (NLP).
- Proficiency in prompt engineering retrieval-augmented generation (RAG) agent-based approaches multi-cloud platforms (MCP) automation-to-automation (A2A) and cloud solutions.
- Expertise in Python frameworks and UI frameworks.
- Strong architectural experience.
Role: Enterprise Architect - onsiteSkills: PythonDescription:AI Architect- Create overarching solution architecture.- Define the vision for AI programs with extensive experience.- Establish AI standards and guidelines for the enterprise.- Specialize in large language models and frameworks vector dat...
Role: Enterprise Architect - onsite
Skills: Python
Description:
AI Architect
- Create overarching solution architecture.
- Define the vision for AI programs with extensive experience.
- Establish AI standards and guidelines for the enterprise.
- Specialize in large language models and frameworks vector databases and cloud deployments.
- Implement Responsible AI techniques including strategy and execution.
Skills
- Expertise in AI specialization particularly in large language models and frameworks.
- Experience with vector databases and cloud deployments.
AI Engineer
- Develop AI solutions including requirements definition design cloud-native development deployment and integration.
- Experience developing solutions using languages like Python and C.
- Develop AI applications utilizing AI services from AWS Azure and Google Cloud.
- Proficient in prompt engineering (Zero One few shot prompting Chain of Thought) and prompt design.
- Understand deep learning concepts autoencoders optimization convolutional neural networks and natural language processing (NLP).
- Proficiency in prompt engineering retrieval-augmented generation (RAG) agent-based approaches multi-cloud platforms (MCP) automation-to-automation (A2A) and cloud solutions.
- Expertise in Python frameworks and UI frameworks.
- Strong architectural experience.
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