TalentAQ

TalentAQ

AI & Machine Learning Engineer

EngineeringFull TimeFresher

Required Skills
10 skills

AI/ML
LLM
LangChain
RAG
SQL
Python
AWS
GCP
Azure
CI/CD

Job Description

Were hiring on behalf of our client who is seeking a highly skilled AI & Machine Learning Engineer to lead the development of cutting-edge Conversational AI systems integrating LLMs, LangChain, RAG, and SQL into high-impact solutions that automate customer support, business intelligence, and seller operations. Key Responsibilities: Architect and deploy AI solutions that integrate with SQL databases and process unstructured data effectively. Build and maintain intelligent chatbots and virtual assistants that automate workflows and provide real-time insights. Design and optimize data ingestion pipelines for structured and unstructured data. Collaborate with cross-functional teams to embed AI into core business systems. Define and track performance metrics to continuously improve accuracy and system responsiveness. Qualifications: Solid experience in AI/ML development, particularly with LLM-powered tools like LangChain and Retrieval-Augmented Generation (RAG). Advanced Python and SQL skills with the ability to rapidly prototype and deploy solutions. Demonstrated projects (e.g., chatbot or text-to-SQL tools) showcasing integration of structured data into conversational AI. Experience building AI agents that handle complex interactions and automate decision-making. Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines. Strong analytical thinking and adaptability in fast-paced environments.
Were hiring on behalf of our client who is seeking a highly skilled AI & Machine Learning Engineer to lead the development of cutting-edge Conversational AI systems integrating LLMs, LangChain, RAG, and SQL into high-impact solutions that automate customer support, business intelligence, and seller operations. Key Responsibilities: Architect and deploy AI solutions that integrate with SQL databases and process unstructured data effectively. Build and maintain intelligent chatbots and virtual assistants that automate workflows and provide real-time insights. Design and optimize data ingestion pipelines for structured and unstructured data. Collaborate with cross-functional teams to embed AI into core business systems. Define and track performance metrics to continuously improve accuracy and system responsiveness. Qualifications: Solid experience in AI/ML development, particularly with LLM-powered tools like LangChain and Retrieval-Augmented Generation (RAG). Advanced Python and SQL skills with the ability to rapidly prototype and deploy solutions. Demonstrated projects (e.g., chatbot or text-to-SQL tools) showcasing integration of structured data into conversational AI. Experience building AI agents that handle complex interactions and automate decision-making. Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines. Strong analytical thinking and adaptability in fast-paced environments.

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