Technical Lead – ML Platform & MLOps (E3)Location: Bengaluru Experience: 6+ years Company: Myntra
Build Myntra's ML Platform
Architect, build and evolve scalable ML Platform and MLOps capabilities for large-scale production workloads.
Create self-service infrastructure that allows Data Scientists and ML Engineers to train, experiment, deploy and operate models without managing underlying infrastructure.
Design reusable platform abstractions, SDKs, APIs and tooling that dramatically improve ML developer productivity.
Build systems for reproducibility, lineage, versioning, governance and lifecycle management across ML workflows.
Drive architecture and technology choices for Myntra's ML infrastructure.
Distributed Training & GPU Infrastructure
Build infrastructure for large-scale distributed training across CPU and GPU clusters.
Design and operate multi-node and multi-GPU training environments.
Work with distributed computing frameworks such as Ray or equivalent technologies.
Build intelligent scheduling, resource isolation and autoscaling capabilities for ML workloads.
Improve utilization of expensive GPU infrastructure through scheduling, workload optimization and capacity management.
Design fault-tolerant training systems with checkpointing, retries and recovery mechanisms.
ML Workflow & Training Platform
Build a world-class training platform supporting the complete ML development lifecycle.
Design scalable orchestration for training, feature engineering, validation and deployment workflows.
Build reusable workflow components using technologies such as Airflow, Ray and Kubernetes.
Improve scheduling, dependency management, execution isolation and reliability for thousands of ML workloads.
Enable experimentation across different compute environments without exposing infrastructure complexity to users.
MLOps & Model Lifecycle
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