Technical Architect

4 days ago


Edison, United States PDSSOFT Full time

- Technical Architect Edison, NJ office Manufacturing

8+ years of experience Hands-on programming skill on at least one language node.js/Java/Python Strong hands-on capabilities on

"Artificial Intelligence” and

"Machine Learning” Knowledge of MLOPS will be beneficial.

$92K- $130K, plus 6.5% Bonus

Job Description:

Strong and proven ability to identify and categorize use cases suitable for Generative AI usage and implementation. This is a key ask.



Responsible for reactive and proactive proposals responses for solutions involving Generative AI (specially LLMs), Conversational AI & cloud AIaaS. •

Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design AI enabled solutions, Data Science services platform at enterprise scale. •

Strong expertise in the Data & AI architecture for one of the Cloudpartners –Azure, AWS, GCP •

Develop and implement applications incorporating Generative AI models such as GPT, Anthropic Claude,, Google Palm, Meta Llama, focusing on enhancing developer and business productivity. •

Knowledge of MLOPS will be beneficial. •

Architect solutions incorporating Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability. •

Apply middleware frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications. •

Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure flawless deployment. •

Keep abreast of emerging trends, sophisticated patterns, dependencies in data, and advancements in AI architecture, supplying 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.

Qualifications:

Hands-on programming skill on at least one language node.js/Java/Python

Strong hands-on capabilities on

"Artificial Intelligence” and

"Machine Learning” PaaS components such as:



Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases •

Microsoft BOT service, Google DialogFlow EX, Amazon Lex •

NLP model - design, training and publishing for multiple languages •

Project experience and/or skills Certification with generative AI including: Azure Open AI (GPT 3.5/4) , Google PaLM 2 and AWS Bedrock •

Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.

Standard Architectural Practices As Below:



Omni-Channel Integration for AI. MLOPS knowledge. •

Deployment and publish for AI and Client services with ACR, ACI, Docker, Azure Kubernetes •

Azure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering •

Web app and services – Micro services, Azure functions, Logic apps, API management #J-18808-Ljbffr


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