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Lead Computer Vision Engineer
Lead Computer Vision Engineer
CAW.Tech's logo

Lead Computer Vision Engineer

Ranjana Singh's profile picture
Posted by Ranjana Singh
6 - 10 yrs
₹30L - ₹45L / yr
Hyderabad
Skills
Generative AI
Large Language Models (LLM)
skill iconAmazon Web Services (AWS)
SAGE
skill iconDocker
skill iconKubernetes
cicd
MLOps
Observability
Deployment management
Monitoring
High Performance Computing (HPC)
Computer Vision
skill iconDeep Learning
Video streaming
Analytics
TensorFlow
Architecture

Role:

We're scaling an AI platform that powers Computer Vision and real-time video analytics, and we need someone to own the architecture, not just contribute to it. Our AI workloads are moving to the cloud, our models need hardening for production, and our engineering practices need a north star. The gap between prototype and production is costing us velocity.


Responsibilities:

  • Architect and govern the end-to-end AI platform from data lake to model serving on AWS (SageMaker preferred).
  • Lead cloud migration of AI workloads with a cloud-native, containerised approach (Docker, Kubernetes, CI/CD).
  • Own the AI roadmap model accuracy, MLOps maturity, observability, and scalability.
  • Set engineering standards across ML development, deployment, and monitoring.
  • Mentor engineers and data scientists; reduce key-person dependency across the org.
  • Drive productionisation, turn research into reliable, monitored, high-performance systems.


Requirements:

  • Deep expertise in Computer Vision, Deep Learning, and Video/Real-Time Analytics.
  • Fluency in PyTorch and/or TensorFlow, Python, and ML architecture patterns.
  • Hands-on with AWS SageMaker, Docker, Kubernetes, CI/CD pipelines.
  • Experience with model monitoring, observability tools, and data lake architectures.
  • A track record of leading AI strategy, not just executing it.


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Shubham Vishwakarma

Full Stack Developer - Averlon
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About CAW.Tech

Founded :
2017
Type :
Services
Size :
100-1000
Stage :
Bootstrapped

About

CAW Studios is Product Development Studio. WE BUILD TRUE PRODUCT TEAMS for our clients. Each team is a small, well-balanced group of geeks and a product manager that together produce relevant and high-quality products. We use data to make decisions, bringing big data and analysis to software development. We believe the product development process is broken as most studios operate as IT Services. We operate like a software factory that applies manufacturing principles of product development to the software.

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Connect with the team

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Ranjana Singh
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Kartik Bansal
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RaviKiran V
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Krishnaveni B
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Stuti Jain

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Shubham Vishwakarma

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