Machine Learning Engineer with Generative AI

Jobs via Dice; Las Vegas (NV); Remote; USD 90,000 - 170,000; Full time

Job summary

A tech company is looking for a Machine Learning Engineer specializing in Generative AI to develop innovative AI-driven solutions and an analytical dashboard using Azure. The role involves creating a state-of-the-art chatbot and conducting sentiment analysis to enhance customer interactions. Ideal candidates will have expertise in AI, machine learning, and related technologies.

Qualifications

• 12+ years of experience in AI and software development.
• Proficient in developing AI-driven solutions.
• Experience in integrating Generative AI with Azure services.

Responsibilities

• Lead development of a chatbot using RAG methodology.
• Develop analytical dashboards utilizing Azure OpenAI.
• Conduct advanced sentiment analysis on customer feedback.

Skills

Generative AI

Python

Spark

Machine Learning

Natural Language Processing

Data Pipeline Design

Education

Bachelor's/Master's degree in Computer Science, Engineering, or related field

Tools

Azure

Azure Databricks

Azure OpenAI

Job description

Machine Learning Engineer with Generative AI

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Machine Learning Engineer with Generative AI

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, PETADATA, is seeking the following. Apply via Dice today!

Job Title: Machine Learning Engineer with Generative AI

Location: Las Vegas, NV - REMOTE

EXPERIENCE: 12+ YRS

Job Type: W2/C2C

PETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.

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: 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.
  
  

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 oppotunity 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

After carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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