Related skills
security gcp ci/cd mlops llms๐ Description
- Lead AI engineering team in India to production-grade AI.
- Run intake for AI opportunities; define scope, success metrics, roadmaps.
- Architect GenAI and agentic AI on GCP; Vertex AI models and pipelines.
- Design AI agents and multi-step workflows; tool calls and integrations.
- Ensure security, privacy, and governance across AI solutions.
- Define and embed DevOps/MLOps for AI: CI/CD, IaC, blue/green releases.
๐ฏ Requirements
- Strong experience in software/data/ML engineering with production AI.
- Proven experience leading AI/ML/LLM teams in global setups.
- Deep knowledge of GCP and Vertex AI; production workloads.
- Experience with Azure AI Foundry or similar platforms; agent frameworks.
- Solid understanding of LLMs, transformers, prompts, and risks.
- Hands-on design/build of AI agents; tool integration and observability.
๐ Benefits
- Comprehensive rewards package.
- Flexible working hours.
- Birthday off.
- Investment in cutting-edge technology.
- Nimble, small-business feel with room to experiment.
- Inclusive culture with active diversity networks.
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