Pro Employ Hires
Lowe's
Sr AI Engineer - Computer Vision
Location : Charlotte, NC, 28245
Job Type : Other
Date Posted : 31 March 2025
Your Impact
The primary purpose of this role is to develop, enhance and maintain a Computer Vision platform rooted in AI, that supports a wide array of Computer Vison, Machine Learning (ML) models, other sophisticated deep learning (DL) frameworks and large language models (LLMs). The Sr AI Engineer will work on scaling model performance, building essential tools and frameworks, and managing compute and storage resources. This role requires close collaboration with cross-functional teams to identify new opportunities leveraging AI platform capabilities across different domains to accelerate AI-infused
product development.
What you will do
• 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 CV, AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness.
• Works closely with data scientists to integrate AI - CV models smoothly into platform.
• Creates and manages efficient data movement and pipelines for the AI - CV platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI - CV 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-CV platform, ensuring data integrity and compliance with industry standards and best practices.
Required Qualifications
• Bachelor's 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, Computer Vision, data, and MLOps tools, and ML frameworks
• 4+ years of Python programming language experience
• 4+ years hands-on experience in Pytorch, tensorflow and building/deploying Computer Vision models
• 4+ years of experience working with continuous integration/continuous deployment tools
• 3+ years hands-on experience OpenCV, scikit-image, or PIL for basic image processing
• 3+ years of experience working with GPU and CPU infrastructure, optimizing ML models for performance
• 3+ years of experience in microservice architecture, Docker, Kubernetes
• 3+ years of experience with message brokers such as Kafka or RabbitMQ.
• 3+ years of experience in MLflow, Kubeflow, or DVC for managing the lifecycle of models
• 3+ years of experience in defining technical requirements and performing high-level design for complex solutions
Preferred Skills/Education
• Master's Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
• 3+ years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI, Spark
• Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime.
• Nvidia deep learning stacks and model serving frameworks
• Familiarity with Prometheus, Grafana, and ELK Stack for monitoring and logging
• Familiarity and experience with Torchserve or FastAPI
• Experience with real-time or offline video processing pipeline with Deep learning application development
About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and
employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.
Lowe’s 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.
Pay Range: $109,400.00 - $207,900.00 annually 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.
The primary purpose of this role is to develop, enhance and maintain a Computer Vision platform rooted in AI, that supports a wide array of Computer Vison, Machine Learning (ML) models, other sophisticated deep learning (DL) frameworks and large language models (LLMs). The Sr AI Engineer will work on scaling model performance, building essential tools and frameworks, and managing compute and storage resources. This role requires close collaboration with cross-functional teams to identify new opportunities leveraging AI platform capabilities across different domains to accelerate AI-infused
product development.
What you will do
• 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 CV, AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness.
• Works closely with data scientists to integrate AI - CV models smoothly into platform.
• Creates and manages efficient data movement and pipelines for the AI - CV platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI - CV 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-CV platform, ensuring data integrity and compliance with industry standards and best practices.
Required Qualifications
• Bachelor's 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, Computer Vision, data, and MLOps tools, and ML frameworks
• 4+ years of Python programming language experience
• 4+ years hands-on experience in Pytorch, tensorflow and building/deploying Computer Vision models
• 4+ years of experience working with continuous integration/continuous deployment tools
• 3+ years hands-on experience OpenCV, scikit-image, or PIL for basic image processing
• 3+ years of experience working with GPU and CPU infrastructure, optimizing ML models for performance
• 3+ years of experience in microservice architecture, Docker, Kubernetes
• 3+ years of experience with message brokers such as Kafka or RabbitMQ.
• 3+ years of experience in MLflow, Kubeflow, or DVC for managing the lifecycle of models
• 3+ years of experience in defining technical requirements and performing high-level design for complex solutions
Preferred Skills/Education
• Master's Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
• 3+ years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI, Spark
• Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime.
• Nvidia deep learning stacks and model serving frameworks
• Familiarity with Prometheus, Grafana, and ELK Stack for monitoring and logging
• Familiarity and experience with Torchserve or FastAPI
• Experience with real-time or offline video processing pipeline with Deep learning application development
About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and
employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.
Lowe’s 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.
Pay Range: $109,400.00 - $207,900.00 annually 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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