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Machine Learning Engineer with Generative AI
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Machine Learning Engineer with Generative AI
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Jobs via Dice Job Details
Location:
Las Vegas, NV - REMOTE Experience:
12+ YRS Job Type:
W2/C2C Company Overview
PETADATA is hiring for a
Machine Learning Engineer with Generative AI
to develop innovative AI solutions, including a chatbot using Retrieval-Augmented Generation (RAG) and an Azure-powered analytical dashboard. Responsibilities
Develop a Generative AI chatbot using RAG methodology to analyze customer reviews. Build an analytical dashboard with Azure OpenAI to extract insights from data. Apply prompt engineering strategies to optimize AI outputs. Implement advanced sentiment analysis to understand customer feedback. Technical Skills
Azure Generative AI integration, including Azure Databricks and Azure OpenAI. Proficiency in Python and Spark for large-scale data processing. Strong foundation in Machine Learning and NLP, focusing on generative AI. Designing scalable data pipelines in Databricks. Desired Attributes
Innovator in deploying generative AI for customer engagement and analytics. Creative problem-solver with attention to detail. Committed to excellence in AI development. Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field. Additional Notes
Candidates will undergo interviews and background checks. Please submit your resume via email for consideration. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industry: Software Development This job is active and accepting applications.
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Join to apply for the
Machine Learning Engineer with Generative AI
role at
Jobs via Dice Job Details
Location:
Las Vegas, NV - REMOTE Experience:
12+ YRS Job Type:
W2/C2C Company Overview
PETADATA is hiring for a
Machine Learning Engineer with Generative AI
to develop innovative AI solutions, including a chatbot using Retrieval-Augmented Generation (RAG) and an Azure-powered analytical dashboard. Responsibilities
Develop a Generative AI chatbot using RAG methodology to analyze customer reviews. Build an analytical dashboard with Azure OpenAI to extract insights from data. Apply prompt engineering strategies to optimize AI outputs. Implement advanced sentiment analysis to understand customer feedback. Technical Skills
Azure Generative AI integration, including Azure Databricks and Azure OpenAI. Proficiency in Python and Spark for large-scale data processing. Strong foundation in Machine Learning and NLP, focusing on generative AI. Designing scalable data pipelines in Databricks. Desired Attributes
Innovator in deploying generative AI for customer engagement and analytics. Creative problem-solver with attention to detail. Committed to excellence in AI development. Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field. Additional Notes
Candidates will undergo interviews and background checks. Please submit your resume via email for consideration. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industry: Software Development This job is active and accepting applications.
#J-18808-Ljbffr