Lead Engineer - Machine Learning at Macys
Johns Creek, GA 30097, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Sep, 25

Salary

252100.0

Posted On

09 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Analytics, Programming Languages, Python, Azure, Cloud, Containerization, Code, Scalability, Aws, Sql

Industry

Information Technology/IT

Description

BE PART OF AN AMAZING STORY

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

SKILLS YOU WILL NEED

Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for junior colleagues.
Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to audiences.
Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions.
Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java.

ABOUT US

This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives.

JOIN US AND HELP WRITE THE NEXT CHAPTER IN OUR STORY - APPLY TODAY!

This job description is not all-inclusive. Macy’s, Inc. reserves the right to amend this job description at any time. Macy’s, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

Responsibilities
  • Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and lead junior colleagues in achieving technical deliverables
  • Invest in strong relationships with colleagues and build a successful followership around a common goal
  • Build and optimize ML pipelines for feature engineering, model training, and inference
  • Develop low-latency, high-throughput model endpoints for distributed environments
  • Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure
  • Troubleshoot, debug, and validate ML systems for performance and reliability
  • Write and maintain automated tests (unit and integration)
  • Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions.
  • Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation
  • Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities
Loading...