At least 6 years of experience as a Technical Architect
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
Expertise in instruction tuning of LLM like llam2
Expertise in Python
Prior experience in Pre-trained models (small and large) and transfer learning
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 (Neural networks including but not limited to, ANN, CNN, RNN (LSTM (BiLSTM, GRU both)))
Implemented at least 5 Deep Learning applications at large scale, with terabytes of training data
Proven expertise in Hyperparameter tuning, deployment and monitoring of Deep Learning Applications
Familiarity with frameworks like TensorFlow, PyTorch, etc.
Hands-on experience in one of the cloud platforms; Azure/GCP/AWS
Prior experience in the 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
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
Compensation
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: 6 years (Preferred)
Ability to Relocate
Edison, NJ: Relocate before starting work (Required)