TEPHRA | Technical Architect-Digital : Cloud ...

Description: 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 #LI-MG2 zure/ 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 #LI-MG2

Created: 2024-11-26