Description

As a Senior Software Engineer in Machine Learning, you will tackle large-scale challenges by building efficient serving layers for ML models, collaborating with data teams, and innovating solutions that enhance quick commerce experiences for customers.

Requirements

• •Expert proficiency in Go and Python
• •Proven experience in system design and implementation
• •Experience with high-throughput data streaming technologies
• •Experience in technical evaluations and solution proposals
• •Experience with CI/CD pipelines and Infrastructure as Code
• •Expertise with containerization and orchestration tools
• •Fluency and clarity in English communication
• •Strong understanding of the MLOps lifecycle
• •Hands-on experience in ML Engineering or MLOps
• •Experience in performance investigations and improvements

Tasks

• •Build and maintain high-performance serving layer for ML models
• •Design, prototype, and deploy Data Products for local business partners
• •Integrate multiple microservices in real-time to fetch external data
• •Apply business rules and enforce operational constraints
• •Architect and build scalable solutions for low-latency performance
• •Take end-to-end ownership of the backend serving layer
• •Collaborate with Data Scientists, Analysts, and Data Engineers
• •Optimize workflows and transition models to production
• •Proactively suggest new technologies and architectures
• •Utilize cloud infrastructure to build highly available systems

Tools & Technologies

Benefits