Member of Technical Staff - 3 ( ML Engineering)

Key Skills

Data structuring, Design, Docker, GPUs, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, PyTorch, TensorFlow

Job Description

Your Role:

• Build and optimize distributed systems that can scale for large volumes of data.
• Architect, design and develop scalable, fault-tolerant services on-prem or cloud
• Improve performance and scalability of various components in the system stack
• Design broad distributed system interactions and optimize any part of the stack including low level systems
• Leverage and contribute to relevant open-source cloud native projects

What you'll bring:

• Bachelor's/Master's degree in Computer Science or related field required.
• 4-7 years of experience designing and developing large scale software applications.
• Strong coding experience in one or more languages: Go, Python etc
• Good understanding of data structure and algorithms.
• Strong experience in docker, kubernetes and cloud native technologies
• Strong understanding of datacenter design including compute, storage, and networking
• Familiarity with on prem, cloud and hybrid software deployment architectures
• Good experience in designing and tuning high performance system software
• Strong understanding of distributed compute and storage architectures
• Strong understanding of OS internals, virtualization, application performance monitoring, compute storage, networking management
• Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch etc) is a strong plus
• Familiarity with ML engineering or MLOps would be a plus
• Experience with hardware accelerators like GPU is a strong plus.
• Experience in working with large codebases or contribution to open source is a strong plus.
• Experience in building full stack multi-tenant services on a virtualized infrastructure is a very strong plus.