ML Ops Engineer 4 - GCP [T500-20226] [15h Left]

About Costco Wholesale

Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.

About Costco Wholesale India

At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members’ experiences and make employees’ jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.

Position Title : ML Ops Engineer 4

Job Description :

Roles & Responsibilities :

• Define the long-term vision and strategy for MLOps initiatives : Set the direction for the organization’s MLOps, model deployment, and monitoring practices.
• Lead and manage a team of MLOps engineers : Provide technical guidance, mentorship, and career development for team members.
• Identify and explore cutting-edge research areas and technologies : Stay abreast of the latest advancements in MLOps, model serving, and AI operations.
• Drive innovation and the development of novel MLOps solutions : Lead efforts, prototype new approaches, and oversee implementation of advanced MLOps platforms.
• Design and manage scalable ML infrastructure and pipelines on GCP; oversee model deployment (A / B testing, rollouts / rollbacks, auto-scaling), and establish monitoring / observability (performance, drift, KPIs).
• Ensure ML operations meet governance, security, compliance, and disaster recovery standards across the organization.
• Collaborate with executive leadership on strategic decision-making : Align MLOps initiatives with business objectives and organizational priorities.
• Establish and enforce MLOps standards and best practices : Ensure quality, reproducibility, and security of ML systems across the organization.
• Represent the organization in external MLOps communities : Speak at conferences, publish thought leadership, and build partnerships with academia and industry.

Technical Skills :

Must Have Skills :