Technical Architect

Job Title – Technical ArchitectDuration – FTELocation: Edison, NJ

Job Description:• At Least 1 year of experience in Generative AI and LLM models like GPT4, GPT3.5, Palm family of Models, Llama2, Falcon, Anthropic .• Must know how to do the instruction tuning of LLM like llam2 etc.• Must Know Python , should be an expert of Python.• Must have prior experience in Pre-trained models (small and large both) , should know the applications of transfer learning.• Must have proven experience and expertise in Data analysis, pre-processing, EDA and Data Visualization .• At least 5 years of extensive experience in Machine Learning algorithms development, Deep Learning ( should be an expert in Neural networks including but not limited to , ANN, CNN, RNN ( LSTM ( BiLSTM, GRU both) ).• Must have implemented at least 5 Deep Learning applications at large scale, with terabytes of training data.• Must have proven expertise in Hyperparameter tuning, deployment and monitoring of Deep Learning Applications.• Must know frameworks like tensorflow, Pytorch etc.• Must know and hands on experience in one of the cloud platforms; Azure/GCP/AWS• Prior experience in Manufacturing domain is desirable and preferred.

Qualifications: Technical 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• 7-10 years of experience • 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 ML 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