Senior AI Engineer

About Lowes

Lowes is a FORTUNE 100 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, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes 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.

Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowes India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India.

About the Team

The highly motivated team builds scalable data platforms, scorecards, and AI/ML-driven insights to empower Distribution Centers (DCs) with data-informed decision-making. The team delivers end-to-end solutions to forecast labor and transportation needs, optimize inventory flow, and improve operational efficiency across the supply chain network. By integrating real-time data, advanced analytics, and machine learning, the team enables proactive planning and performance visibility to meet evolving business demands.

Job Summary:

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. 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.

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:

• 5-8 years of overall work experience

Education Qualification & Certifications (optional)

Required Minimum Qualifications

• Bachelor's degree in science, technology, engineering, math, or relevant field (or equivalent work experience in lieu of degree) and 2 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master's or Doctorate degree)

Skill Set Required

• Hands-on experience in Machine Learning, Deep Learning, Computer Vision, and Generative AI.
• Exposure to MLOps workflows for scalable model deployment and monitoring.
• Strong proficiency in Python and related frameworks (TensorFlow, PyTorch, OpenCV).
• Experience building and deploying microservices using Flask or FastAPI.

Secondary Skills (desired)

• Pyspark
• Docker
• Google cloud platform