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AI Engineer - (OpenCV) - Visual Commerce

Lowe's

North Carolina

On-site

USD 80,000 - 120,000

Full time

2 days ago
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Job summary

Join a forward-thinking company as a Senior AI Engineer and lead innovative projects that shape the future of retail technology. Collaborate with talented teams to drive product vision, enhance customer experiences, and leverage AI/ML to deliver actionable insights. With a modern work environment in Charlotte, you’ll be at the forefront of technological advancements, working alongside visionaries who inspire and challenge you. This is an exciting opportunity to make a significant impact in a stable and inclusive culture, where your contributions will help redefine the retail landscape.

Benefits

401k with up to 4.25% match
Discounted Employee Stock Purchase Plan
Tuition-Free Education
10-Week Maternity/Parental Leave
10% Associate Discount

Qualifications

  • 2 years of experience in data science, ML, and DL.
  • 1 year of programming experience and ML Operations tools.

Responsibilities

  • Drive product vision and strategy using data insights.
  • Lead end-to-end execution of data science projects.

Skills

Machine Learning
Deep Learning
Data Science
Programming
Advanced Analytics

Education

Bachelor's degree in STEM
Master's degree in relevant field

Tools

TensorFlow
PyTorch
OpenCV
SQL
NoSQL
Google Cloud
Hadoop

Job description

Your Impact

Join our growing technology team and pioneer cutting-edge projects to shape the future of retail technology through AI/ML innovation. You’ll collaborate cross-functionally with high-performing teams across the organization to develop the product vision, enhance customer experiences, drive product execution, influence advocacy, and deliver data-driven insights for informed decision-making as a Senior AI Engineer on the Visual Commerce team.

Create the future of Retail Tech

As an AI Engineer, you’ll be able to shape the future of retail technology under the leadership one of Forbes Top 50 CIOs, Seemantini Godbole. You’ll also be leading a talented team who share your passion for innovation and excellence.

We’ve been around for over 100 years, so we’re not going anywhere. We have the stability you need to focus on looking to the future and bringing your team there with you. And you’ll be surrounded by peers who are visionaries in their areas – people who can collaborate with you to challenge you, help you grow, and inspire you. We know what it takes to build an inclusive culture – from collaborating with diverse and curious minds to approaching challenges with new perspectives.

Innovate in Charlotte

This position is based at our on-site Tech Hub in Charlotte, North Carolina. Lowe's Tech Hub is an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site barista and Zen Garden, and other perks to enhance your work experience.

Key Responsibilities

  • Product Vision: Drive the development of product vision and strategy using data and insights to identify opportunities for innovation and growth.

  • Customer Experience: Apply advanced analytics techniques to understand customer behavior, preferences, and needs, driving initiatives to enhance the overall customer experience.

  • Project Execution: Lead the end-to-end execution of data science projects, deploy machine learning models to google cloud, do performance testing and tuning for deep learning models ensuring high-quality deliverables within timelines.

  • Advocacy and Insights: Collaborate with stakeholders to advocate for data-driven decision-making and analyze large-scale datasets to generate actionable insights for operational efficiency, revenue growth, and customer satisfaction.

  • Machine Learning and Computer Vision: Utilize TensorFlow, PyTorch, and OpenCV to develop high-performance applications and implement algorithms for object detection, image classification, depth estimation, generative AI, and image segmentation.


Required 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)

  • 1 year of programming language experience

  • 1 year of experience working with ML Operations tools


Preferred Skills/Education

  • Master's degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics

  • 1 year of experience working with cross-functional partners

  • 1 year of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI

Benefits

  • 401k with up to 4.25% match

  • Discounted Employee Stock Purchase Plan (15% discount of strike price)

  • Tuition-Free Education

  • 10-Week Maternity/Parental Leave

  • 10% Associate Discount

For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

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, visitLowes.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.

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