AI GPT Technical Architect

Location Edison, NJ

5 years Deep Learning applications at a large scale, with terabytes of training data

Job Description:

• At Least 1 year of experience in Generative AI and Bachelor’s degree 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, and should be an expert in Python. Must have
• 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) ). Can be 4 years
• 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.

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

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

Willing to travel to Edison, NJ or Relocate.

Job Type: Full-time

Pay: $92,000.00 - $130,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off

Compensation package:

• Bonus opportunities

Experience level:

• 5 years

Schedule:

• 8 hour shift
• Monday to Friday

Education:

• Bachelor's (Preferred)

Experience:

• AI, GPT Llama Anthropic: 1 year (Preferred)
• Machine Learning: 5 years (Preferred)
• Deep Learning apps large scale, with terabytes of training: 5 years (Preferred)
• Azure GCP AWS Cloud: 4 years (Preferred)
• Technical Architect: 7 years (Preferred)

Ability to Relocate:

• Edison, NJ: Relocate before starting work (Required)

Willingness to travel:

• 75% (Preferred)

Work Location: In person