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 Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in.

About the Team

Lowe's forecasting platform team is responsible for predicting future trends, outcomes, or events based on current and historical data. The primary goal is to generate AI/ML forecasts that help the business plan for future demand, optimize resources, reduce risk, and make data-driven decisions.

Job Summary:

The primary purpose of this role is to design, build, and maintain the data systems and pipelines that enable the organization to collect, store, process, and analyze large volumes of data. The main goal is to ensure that data is accessible, reliable, and structured in a way that facilitates easy use by data scientists, analysts, and other decision-makers. Along with Data Engineering & Pipeline, the Data & AI/ML Engineer will apply foundational ML knowledge to assist in optimizing model performance, developing necessary tools and frameworks, and efficiently managing computing and storage resources. This role will harness AI/ML platform capabilities and help accelerate the development of AI/ML-driven products.

Roles & Responsibilities:

• Working closely with the data science team to develop data models and pipelines for ML Forecasting, contributing to build, enhance, maintain and optimize state-of-the-art data/ML pipelines for ML predictive models.

• Collaborating with Data Scientists to build the data preprocessing, feature engineering & post processing jobs to ensure that the data used for training the models is of high quality & ready.

• AI/ML Models path to production - Responsible for deploying the models into production & monitoring its performance to oversee its performance and bringing out improvements plan.

• Developing transformation modules to aggregate, filter, and combine multiple datasets, creating key business-ready datasets and metrics for data visualization & insights

• Collaborating with Data Scientist to scale the model for data and SLA requirement.

• Collaborating with the Business and Product teams to deliver analytics and reports.

• Designs & develops integrated business and enterprise application solutions in the data engineering and analytics domain, ensuring that the solutions are flexible, scalable, maintainable, and align with architectural standards.

• Supports the implementation of security and compliance measures within the AI/ML development process, aligning with company policies and industry regulations.

• Championing best practices and consistently working to enhance our production pipelines to improve reliability, scalability, and efficiency in terms of both time and memory.

Years of Experience:

2 - 5 years of experience in Data & AI/ML engineering,

Required Minimum Qualifications:

• Bachelor's/master’s degree in engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)

• Minimum 2 years of experience in applications powered by AI/ML with large dataset

• 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)