Generative AI Engineer

Overview

As a Generative AI Engineer, you’ll build, evaluate, and deploy AI models that turn complex data into useful, reliable applications. You’ll partner with research and engineering teams to move ideas into production, balancing model quality, responsible implementation, and scalability. Your impact: By delivering well-tested generative AI solutions, you’ll help users access clearer insights and complete information-driven tasks more effectively.

Duties

• Develop and train machine learning and generative AI models, including natural language processing applications.
• Prepare data through extraction, transformation, and loading (ETL); data mining; and linked data workflows.
• Evaluate models using statistical analysis, predictive modeling, and research methods; document findings and recommendations.
• Deploy and monitor solutions using AWS and machine learning cloud services; improve performance across big data systems.
• Collaborate on database design, analytics, and scalable AI implementation.

Skills

• Core: Python, SQL, machine learning, model training and evaluation, statistical modeling, unsupervised learning, and machine learning frameworks such as TensorFlow.
• Data and platforms: SQL databases, Spark implementation, Hadoop, big data, data analytics, statistical analysis tools, and Looker.
• Additional tools: Java, C, R, SAS, VBA, Bash (Unix shell), and Talend; familiarity with machine learning/AI-based analysis and quantum engineering is preferred.
• Apply statistical analysis, predictive modeling analysis, and analytics to assess AI models and communicate results.

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Pay: $60,000.00 - $80,000.00 per year

Work Location: In person