Ai - Ml Engineer - Chennai

The job role is for an AI ML Engineer specializing in machine learning and NLP - The employee will be responsible for deploying and managing AI models on the Google Cloud Platform GCP and On-Prem - The role requires hands-on experience working on Large Language Models LLMs and or developing Conversational AI Systems - Key responsibilities include the design development and deployment of conversational AI systems such as chatbots and virtual assistants - The candidate will develop multi modal solution architecture with bespoke models for specific use-cases and scenarios - They are expected to fine-tune and optimize LLM models for specific banking tasks and user experiences - Implementing Retrieval Augmented Generation RAG and embeddings to retrieve customer information through APIs is another key responsibility - The role involves continuous monitoring and evaluation of the performance of voice-based banking solutions - The candidate will develop and deploy machine learning models for tasks like personalized recommendations and customer sentiment analysis - They will collaborate to deploy and manage models on GCP leveraging MLOps tools and services to streamline model development training and deployment - The employee will develop an end-to-end architecture from training to inferencing custom models - The job requires a strong understanding of natural language processing NLP concepts and techniques good programming skills and knowledge of AI ML algorithms for building NLP Applications - Deep knowledge of LLM architectures and their applications expertise in data preprocessing feature engineering and model evaluation is needed - A basic understanding of MLOps principles and practices is required along with excellent problem-solving and communication skills - The candidate should have 3 years of hands-on experience in AI ML development with a strong focus on NLP API Integrations - Experience with LLM models fine-tuning prompt engineering and RAG techniques is required - Proficiency in Python is a must and knowledge of vector databases will be beneficial - Hands-on experience with frameworks like TensorFlow Pytorch LangChain FastAPIs NoSQL Database is required - Knowledge of GCP MLOPs will be a plus The job role is for an AI ML Engineer specializing in machine learning and NLP - The employee will be responsible for deploying and managing AI models on the Google Cloud Platform GCP and On-Prem - The role requires hands-on experience working on Large Language Models LLMs and or developing Conversational AI Systems - Key responsibilities include the design development and deployment of conversational AI systems such as chatbots and virtual assistants - The candidate will develop multi modal solution architecture with bespoke models for specific use-cases and scenarios - They are expected to fine-tune and optimize LLM models for specific banking tasks and user experiences - Implementing Retrieval Augmented Generation RAG and embeddings to retrieve customer information through APIs is another key responsibility - The role involves continuous monitoring and evaluation of the performance of voice-based banking solutions - The candidate will develop and deploy machine learning models for tasks like personalized recommendations and customer sentiment analysis - They will collaborate to deploy and manage models on GCP leveraging MLOps tools and services to streamline model development training and deployment - The employee will develop an end-to-end architecture from training to inferencing custom models - The job requires a strong understanding of natural language processing NLP concepts and techniques good programming skills and knowledge of AI ML algorithms for building NLP Applications - Deep knowledge of LLM architectures and their applications expertise in data preprocessing feature engineering and model evaluation is needed - A basic understanding of MLOps principles and practices is required along with excellent problem-solving and communication skills - The candidate should have 3 years of hands-on experience in AI ML development with a strong focus on NLP API Integrations - Experience with LLM models fine-tuning prompt engineering and RAG techniques is required - Proficiency in Python is a must and knowledge of vector databases will be beneficial - Hands-on experience with frameworks like TensorFlow Pytorch LangChain FastAPIs NoSQL Database is required - Knowledge of GCP MLOPs will be a plus