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Generative AI Engineer

Qode is a technology company specializing in AI-driven solutions and data engineering.
United States
$93,600 - $97,760
Machine Learning
Mid-Level Software Engineer
Remote
[] Employees
3+ years of experience
AI · Enterprise SaaS

Description For Generative AI Engineer

Join Qode as a Generative AI Engineer in this remote contract-to-hire position, where you'll be at the forefront of AI-driven solutions. This role combines data engineering expertise with AI applications, focusing on building and maintaining sophisticated data pipelines that power actionable insights. You'll work with cutting-edge technologies including Python, Java, and SQL, while collaborating with cross-functional teams to enhance operational efficiency. The position offers competitive hourly compensation ($45-47/hour) and requires 3-5 years of experience in data engineering. You'll be responsible for ETL processes, data modeling, and implementing AI/ML solutions in a customer-focused environment. The role demands strong technical skills in database management, cloud platforms, and data integration tools, making it perfect for someone passionate about both data engineering and artificial intelligence. Working US EST hours, you'll have the opportunity to make a significant impact on the company's data infrastructure and AI capabilities while working remotely.

Last updated 9 days ago

Responsibilities For Generative AI Engineer

  • Build and maintain robust ETL pipelines to process data from diverse sources
  • Create dimensional and analytical data models
  • Automate data ingestion and transformation processes
  • Implement data quality checks
  • Enhance data pipelines and queries for efficient processing
  • Partner with data analysts and stakeholders to translate business needs into technical solutions

Requirements For Generative AI Engineer

Python
Java
  • 3-5 years in data engineering
  • Proficiency in SQL, Python, and Java
  • Expertise with data integration tools
  • Strong knowledge of relational and NoSQL databases
  • Experience with cloud platforms (AWS or Google Cloud)
  • Experience with data manipulation tools and version control systems
  • Familiarity with AI/ML fundamentals
  • Bachelor's degree in Computer Science, Engineering, or related field

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