
Overview
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 2024 sales of more than $83 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, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com
About Lowe’s India: At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market.
To know more about Lowe's India, visit Lowes.co.in
About the Team
The Visual Commerce team focuses on enhancing the customer experience by developing various visualizers and inspirations. These tools assist customers in decision-making by providing better product visualization. Our team specializes in cutting-edge machine learning technologies within computer vision, including Generative AI, to tackle complex challenges in the retail domain.We offer a dynamic environment ideal for candidates seeking a creative and challenging workplace.
Job Summary:
The main objective of this role is to develop and deploy Computer Vision models that drive our data science initiatives. With a solid foundation in Python,Computer Vision, Computer Science, Mathematics, or Statistics, you will play a crucial role in improving customer experiences. This position offers the opportunity to gain experience in a variety of areas, including, but not limited to, computer vision and generative deep learning challenges.
A Sr. AI Engineer solves complex problems that do not yet have solutions in the research and help to deploy the ML models to production using fast api or related frameworks. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the Team. This role should be able to come up with out-of-the-box solutions for complex retail challenges using computer vision techniques.
Roles & Responsibilities:
Core Responsibilities:
Utilize machine learning technologies such as Python, Pyspark, TensorFlow, and PyTorch to develop, and implement high-performance, scalable applications for enterprise level visualizers and computer vision projects.
Develop and implement computer vision algorithms and models to solve complex business problems, such as object detection, image classification, depth estimation, Generative AI and image segmentation.
Develop and maintain technical documentation of algorithms and models, including documentation of model performance and validation.
Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects and to guide team members
Stay up to date with the latest developments in computer vision and machine learning and apply this knowledge to improve our products and processes.
Asks the right questions to understand the problem; validates understanding with Stakeholder or Manager
Should be able to train the deep learning models after data preparation, validate the model, deploy the model to cloud environment, do performance tuning and monitor the model inference.
Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope
Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business
Develop projects with full adherence to enterprise project management practices by participating in formal and informal training
Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies
Years of Experience:
5+ years of experience in python,deep learning and computer vision Datascience.
- Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field)
2 years of experience in computer vision Datascience.
AND
3 year of programming experience in Python and Machine learning.
OR
- Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
2 year of experience in python microervices like fast api.
OR
- Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
- Knowledge of computer vision model training.
- Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
- Experience in deploying deep learning models in a large scale enterprise
- 2 years of experience in data science or advanced analytics in industry
- Docker Experience
- Programming experience in Python.
- Experience using multiple data systems and frameworks (such as Hadoop, Spark) etc
Skill Set Required
Primary Skills (must have)
Python
Computer Vision
Deep Learning
Machine Learning
Generative AI
MLOps
Python Microservices like Flask and FastAPI
OpenCV
TensorFlow
PyTorch
Secondary Skills (desired)
Pyspark
Docker
Google cloud platform
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.