Scales the platform for high performance and integrates new AI capabilities as application programming interfaces to ensure the platform remains adaptable and efficient in hosting a variety of ML models.
Designs, develops, and implements tools and frameworks that support ML experimentation and deployment.
Manages graphics processing unit (GPU) and central processing unit (CPU) resources to optimize the execution of AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness.
Works closely with data scientists to integrate AI models smoothly into platform.
Creates and manages efficient data movement and pipelines for the AI platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI model training and inference.
Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction.
Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs.
Implements security protocols and governance measure for AI platform, ensuring data integrity and compliance with industry standards and best practices.
Required Qualifications
Bachelors Degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 4 years of experience in ML platform engineering, data, and MLOps tools, and ML frameworks
Preferred Qualifications
Masters Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
3 years of experience working with GPU and CPU infrastructure, optimizing ML models for performance
3 years of programming language experience. Experience working with Continuous Integration/Continuous Deployment tools
3 years of experience working with continuous integration/continuous deployment tools
3 years of experience in defining technical requirements and performing high-level design for complex solutions
3 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI
Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
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