Description : Job 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 QualificationsHands-on programming skill on at least one language node.
js / Java / PythonStrong 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
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