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Machine Learning Engineer with Generative AI

PETADATA

Las Vegas (NV)

Remote

USD 90,000 - 150,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a visionary Machine Learning Engineer with a passion for Generative AI. This role focuses on pioneering AI-driven solutions, particularly in developing advanced chatbots and analytical dashboards powered by Azure OpenAI. The ideal candidate will leverage their expertise in Python, Azure Databricks, and machine learning to enhance customer interactions and drive insightful data analysis. Join this innovative team to redefine the future of AI applications in customer service and analytics, where your contributions will make a significant impact in the tech landscape.

Qualifications

  • Proven expertise in generative AI and Azure technologies.
  • Strong foundation in machine learning and NLP with practical experience.

Responsibilities

  • Develop advanced chatbots using RAG methodology for customer interactions.
  • Create analytical dashboards using Azure OpenAI for data insights.

Skills

Generative AI
Azure Databricks
Python
Spark
Natural Language Processing (NLP)
Sentiment Analysis
Prompt Engineering

Education

Bachelor's degree in Computer Science
Master's degree in Computer Science

Tools

Azure OpenAI
Azure Cloud Services

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: 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 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 anandinik@petadata.co.

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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