Sr AI Engineer - Computer Vision

Job Posted 2 Days Ago Posted 2 Days Ago
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Charlotte, NC
Senior level
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Curiosity wanted. Innovation required.​​​​​​​
The Role
The Sr AI Engineer will develop and maintain a Computer Vision platform, enhancing AI capabilities and managing resources. Responsibilities include scaling performance, creating tools for ML deployment, optimizing data movement, and collaborating with teams for continuous improvements. The role also involves implementing security measures and ensuring compliance with industry best practices.
Summary Generated by Built In

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.

Top Skills

BigQuery
Docker
Druid
Dvc
Google Vertex Ai
Hadoop
Kafka
Kubeflow
Kubernetes
Mlflow
NoSQL
Opencv
Python
PyTorch
RabbitMQ
Scikit-Image
Spark
SQL
TensorFlow
Trino

What the Team is Saying

Person1
Seemantini Godbole
EVP, Chief Digital & Information Officer
“Lowe's offers scale and depth. But, unlike other large companies, it doesn't want to stay stagnant – it's continuously looking to make changes for the better. I believe the company and the leadership team is really in tune with the value of technology and what it can do for the business.“
Seemantini Godbole
Vivek B.
Laura M.
Hannah W.
Margot F.
Rachel L.
Morgan S.
Elaina W.
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The Company
HQ: Mooresville, NC
300,000 Employees
Hybrid Workplace
Year Founded: 1921

What We Do

It’s curious to think of innovation and stability co-existing. But we pair a 100-year track record of success with a hunger to do things differently. Everyone is in the work — tackling complex problems where your impact can build back or build up the communities we serve.

We fill our halls with curious minds from all walks of life. Our differences make us stronger, which is why our leaders build cultures of recognition and inclusion. You are heard, and your curiosities are celebrated and championed here.

Why Work With Us

We have built a space where the curious can move freely. Up in title, up in skills, to the side with teams, or back to try something completely new. We help you find your path — because when you win, we all win.

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Lowe’s Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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HQMooresville, NC
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Charlotte, NC
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Kirkland, WA
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