Skills Required:
Python, GCP (Vertex AI, BigQuery, Dataproc, Dataflow, Cloud Composer, GKE, Pub/Sub), Vertex AI Pipelines / Kubeflow, MLflow, Feature Store, Docker, Kubernetes, Terraform, GitHub, TensorFlow / PyTorch Experience Range: 8+ years with 3 yrs of ML Ops experience Position Summary: The Data Science team is looking for a passionate MLOps Engineer eager to solve complex machine learning problems at a global scale. At Costco, we're building the next generation of retail technology, and we need talented individuals to drive our digital transformation. We're a company that not only delivers exceptional value to millions of members worldwide but also deeply values its employees, fosters a culture of innovation, and offers genuine opportunities for technical and growth opportunities. The ideal candidate will perform complete cycle development work on ML pipelines, model serving on Vertex AI, associated data stores (BigQuery, alloydb), and integration with other Costco systems. As a Level 3 Engineer,



the candidate will demonstrate the ability to independently own features and components within larger ML platform projects, and the knowledge and experience to design, build, debug, optimize and implement solutions. You'll join a high-caliber, Agile engineering cell where collective ownership and real-time collaboration are the norms. Together, we solve complex architectural challenges to deliver seamless, intelligent digital experiences for millions of members every single day.
This role will be responsible for:
- Delivering ML-driven capabilities that enhance the member experience across various digital touchpoints.
- Building ML pipeline and model serving components from the ground up.
- Ensuring the longevity, scalability and quality of our ML systems through continuous improvement, comprehensive documentation, meticulous profiling, and performance enhancements.
- Supporting and mentoring junior engineers, fostering a culture of continuous learning and improvement. Job

📌 Software Engineer (Hyderabad)
🏢 Costco
📍 Hyderabad