Machine Learning Engineer

• Develop and maintain scalable ML/LLM deployment infrastructure (cloud/on-prem).
• Build CI/CD pipelines for model training, testing, and deployment.
• Implement model serving solutions
• Help cross functional teams to design and deliver Multi-Agent systems
• Set up monitoring for model performance, drift, logging, and alerting.
• Manage cloud resources, GPU workloads, autoscaling, and infrastructure-as-code.
• Ensure system reliability, security, and cost efficiency.
• Collaborate with product teams to streamline experimentation and production workflows.

MLOps Engineer

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