Ml OpsGCCX Global
Bangalore, Bengaluru · hybrid · 5-11 yrs · 20-80 LPA
GCCX provides a comprehensive platform for businesses to scale global teams and operations in India. As an MLOps Engineer, you will design and maintain the infrastructure that powers our data and model-driven initiatives. You will bridge the gap between model development and production deployment, ensuring our systems remain reliable, performant, and scalable.
what you'll do:
- Design and implement scalable MLOps pipelines for model training, testing, and deployment.
- Manage GPU workload orchestration to optimize resource utilization and compute costs.
- Configure and maintain LLM gateway solutions to facilitate secure and efficient model access.
- Automate infrastructure provisioning using Infrastructure-as-Code principles.
- Monitor, track, and version machine learning models to ensure reproducibility and performance.
- Collaborate with engineering teams to integrate machine learning capabilities into product services.
why join: GCCX operates at the intersection of global growth and India-based operational excellence, providing a unique platform for startups and SMBs to scale efficiently. Joining us offers the chance to build foundational infrastructure that supports diverse, high-growth client environments.
message me directly on tal BOSS.
tal saysjoin gccx to build scalable machine learning infrastructure and streamline model deployment for global teams. we are looking
engineering
senior
hybrid
Bangalore, Bengaluru
kubernetesdockermlflowterraformkubeflow
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