Machine Learning Engineer with Generative AI

PETADATA; Las Vegas (NV); Remote; USD 130,000 - 180,000; Full time

Job summary

A leading technology firm is seeking a Machine Learning Engineer specializing in Generative AI. This pivotal role demands expertise in Azure services to develop innovative AI-driven solutions, enhancing customer interaction through advanced chatbots and data analytics frameworks. Candidates should possess significant experience in machine learning and natural language processing to drive impactful customer insights and engagement.

Qualifications

• 12+ years of experience in ML and AI focusing on generative technologies and NLP.
• Skill in developing analytics through Azure technologies.
• Experience in prompt engineering and sentiment analysis.

Responsibilities

• Develop advanced generative AI chatbots using RAG techniques.
• Create insightful dashboards with Azure OpenAI.
• Design and operationalize scalable data pipelines.

Skills

Azure Generative AI Integration

Python

Spark

Machine Learning

Natural Language Processing

Data Pipeline Design

Education

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

Job description

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 [e-mail]

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