Role: Machine Learning Engineer with Generative AI Bill Rate: $102/hour C2C Location: Las Vegas, NV Duration: 12+ months/ long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Job Details We seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies. Core Responsibilities: Generative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews. Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets. Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs. Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement. Essential Technical Proficiencies: Azure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications. Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics. Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law
