Machine Learning Engineer with Generative AI

PETADATA; Las Vegas (NV); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a visionary Machine Learning Engineer specializing in Generative AI to redefine customer interaction and data analysis. In this pivotal role, you will spearhead the development of an advanced chatbot using the Retrieval-Augmented Generation (RAG) technique, enhancing customer engagement through nuanced interactions. Additionally, you will create insightful analytical dashboards powered by Azure OpenAI, unlocking deep insights from complex datasets. This is a unique opportunity to push the boundaries of AI applications in customer service and analytics, making a significant impact in the technology sector.

Qualifications

• 12+ years of experience in machine learning with a focus on generative AI.
• Strong expertise in Azure cloud services and data pipeline design.

Responsibilities

• Lead the development of a generative AI chatbot using RAG methodology.
• Design and implement analytical dashboards powered by Azure OpenAI.

Skills

Generative AI

Python

Spark

Machine Learning

Natural Language Processing

Sentiment Analysis

Prompt Engineering

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Azure Databricks

Azure OpenAI

Job description

Machine Learning Engineer with Generative AI

Job Title: Machine Learning Engineer with Generative AI
Location: Las Vegas, NV - REMOTE
Experience: 12+ YRS
Job Type: W2/C2C

Job Overview
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: Spearhead 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.

Desired Attributes

• A proven innovator in deploying generative AI to enhance customer interactions and analytical insights.
• Creative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.
• Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.

This opportunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.

Educational Qualification
Bachelor's/Master's degree in Computer Science, Engineering, or a related field.

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

Note
Candidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.

Please email your resume to [e-mail]. After carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Technology, Information and Internet

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