AI Engineer

• Create and manage the AI development process and overall infrastructure for AI-powered products
• Build AI models that generate accurate predictions at scale, including Context optimization, Comprehensive evaluation, and Transform machine learning models into APIs
• Develop and maintain infrastructures for data transformation and ingestion
• Locate, extract, and pull data from diverse sources to support AI model development
• Conduct comprehensive statistical analysis and interpret results to guide organizational decision-making
• Automate critical infrastructure components for the data science team
• Ensure data quality and integrity throughout the AI development pipeline
• Coordinate effectively with cross-functional team members, including data scientists, software engineers, and product managers
• Explain the functionality and business value of AI models to stakeholders across various technical backgrounds
• Collaborate with product teams to understand requirements and translate them into technical solutions
• Present findings and recommendations to both technical and non-technical audiences
• Develop and maintain scalable AI infrastructure and deployment pipelines
• Optimize model performance and ensure efficient resource utilization
• Implement best practices for model versioning, testing, and monitoring
• Stay current with emerging AI technologies and industry best practices

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