Machine Learning Engineer with Generative AI

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

Job summary

An established industry player seeks a visionary Machine Learning Engineer specializing in Generative AI. This remote role focuses on deploying innovative AI solutions, including a sophisticated chatbot and analytical dashboards powered by Azure technologies. The ideal candidate will leverage their expertise in Python, Spark, and machine learning to enhance customer interactions and data analysis. Join a forward-thinking team that values creativity and problem-solving, and take your career to new heights in the evolving landscape of AI. Embrace the opportunity to shape the future of customer service and analytics with cutting-edge technology.

Qualifications

• 12+ years of experience in machine learning and AI development.
• Strong foundation in generative AI technologies and NLP.

Responsibilities

• Develop an advanced generative AI chatbot using RAG methodology.
• Design and build an analytical dashboard utilizing Azure OpenAI.

Skills

Azure Generative AI services

Python

Spark

Machine Learning

NLP

Data Pipeline Design

Education

Bachelor's degree in Computer Science

Master's degree in Engineering

Tools

Azure Databricks

Azure OpenAI

Job description

Machine Learning Engineer with Generative AI

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Job Title: Machine Learning Engineer with Generative AI

Location: Las Vegas, NV - REMOTE

Experience: 12+ YRS

Job Type: W2/C2C

PETADATA is hiring a Machine Learning Engineer with Generative AI for a client.

Job Overview

We seek a forward-thinking Machine Learning Engineer specializing in Generative AI within the Azure ecosystem. The role involves deploying AI solutions, including a chatbot using Retrieval-Augmented Generation (RAG) to analyze customer reviews and creating an analytical dashboard powered by Azure OpenAI. The candidate will leverage generative AI to enhance customer interactions and data analysis.

Core Responsibilities

• Develop an advanced generative AI chatbot using RAG methodology for nuanced customer interactions.
• Design and build an analytical dashboard utilizing Azure OpenAI to extract insights from data.
• Apply prompt engineering techniques to optimize AI output relevance and quality.
• Implement sentiment analysis to understand customer feedback deeply, improving empathetic engagement.

Essential Technical Skills

• Experience with Azure Generative AI services, including Azure Databricks and Azure OpenAI.
• Proficiency in Python and Spark for AI development and large-scale data processing.
• Strong foundation in machine learning and NLP, focusing on generative AI technologies.
• Ability to design scalable data pipelines in Databricks for AI workflows.

Desired Attributes

• Innovator in deploying generative AI for customer engagement and analytics.
• Creative problem-solver capable of translating customer needs into AI solutions.
• Meticulous with attention to detail and committed to AI development excellence.

This role is ideal for a visionary engineer eager to shape the future of AI in customer service and analytics, exploring the boundaries of generative AI and machine learning.

Educational Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related fields.

We provide a professional environment with growth opportunities in the IT sector.

Note

Candidates will undergo interviews via phone, video, or in person, along with background checks on education and experience. Please send your resume to [e-mail]. Our HR team will contact suitable candidates to discuss next steps.