15h Left: Gen AI Architect
4 weeks ago
This is a remote position open to any qualified applicants. We can sponsor visas for the right candidates.
Job Title: Gen AI Architect / Engineer / Scientist
Principal Responsibilities
- Develop solution architecture for new product development and drive end-to-end implementation and deployment.
· Propose the solution architecture for Generative AI (especially LLMs), Conversational AI & cloud AIaaS.
- Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, and Meta Llama2, focusing on enhancing developer and business productivity.
- Architect solutions incorporating advanced techniques like Retrieval Augmented Generation (RAG), In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
- Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing applications' contextual understanding and response generation.
- Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
-Stay abreast of emerging trends, complex patterns, data dependencies, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
- Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
Technical Qualifications
- Hands-on programming skills in at least one language, Python
- Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
· Contextual Conversation design– for personalized and humanized interaction with end users for complex business cases
× Microsoft BOT service
× Google DialogFlow EX
× Amazon Lex
· Natural Language Processing model - design, training, and publishing for multiple languages
· Project experience and/or skills Certification with generative AI
× Azure Open AI (GPT 3.5/4)
× Google PaLM 2
× AWS Bedrocks
· Emotion and Sentiment Analytics
· Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise, and business vocals.
· Omni-Channel Integration for AI through Direct line
· Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
· Azure/ AWS/ GCP certifications in Machine Learning & AI
× Microsoft DP 100, AI 102
- AWS Machine Learning Specialty
× Google Certified Cloud Machine Learning Engineer
× Deeplearning.ai certifications on LLMs, prompt engineering
- Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
· Web app and services – Microservices, Azure functions, Logic apps, API management
· DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
- Ability to objectively compare technologies in any layer with evaluation criteria and considerations.
- Excellent communication skills, preparing PowerPoint presentations and executive readouts.
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