Design, develop, and deploy & operationalize machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes
Job Summary
Design, develop, and deploy & operationalize machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes.
Implement CI/CD pipelines for automated deployment of ML and AI models to production environments and develop tools for continuous monitoring and performance management.
Integrate AI ethics and compliance considerations into all ML/AI solutions, with a focus on data privacy, bias detection, and model transparency.
Matching Summary
Design, develop, and deploy & operationalize machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes.
Salary
Base: 100,200 - 155,400; Bonus/Equity: annual bonus programs; Benefits: health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts
Skills & Requirements
Must-have
ML/GenAI platform design
CI/CD pipelines for ML models
MLOps best practices
Azure ML Studio and Azure AI Foundry
Python, SQL, and ML/AI DevOps tools
Containerization and orchestration tools
Nice-to-have
Timeless pursuit of adventure
Innovation, evolution, and emotion
Building more than machines
Inclusive compensation package
Diverse perspectives and contributions
Key Requirements
7+ years of experience in data engineering or DevOps