Description

Key Requirements:
- Minimum 2 years of hands-on AI Engineering experience
- Degree in Computer Science or Engineering
- Proficiency in building, scaling, managing, and monitoring ML pipelines
- Skilled in Python, Kubernetes, and distributed computing
- Strong understanding of machine learning, generative AI, agents, multi-agent collaboration, and MCP servers with a focus on real-world implementation
- Expertise in CI/CD principles, version control, and best practices for deploying AI workloads to production.

Key Skills
Education

Any Graduate

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