AI /ML Engineer (8+)
Key Responsibilities
. Lead end-to-end AI/ML solution delivery — from business problem definition, data preparation, model design, and training to production deployment and monitoring.
. Architect scalable ML pipelines leveraging open-source frameworks such as TensorFlow, PyTorch, scikit-learn, MLflow, and Kubeflow.
. Design and deploy AI workloads on containerized environments using Docker and Kubernetes, optimizing GPU utilization for training and inference.
. Collaborate with data engineers, cloud architects, and business consultants to integrate AI capabilities into enterprise systems.
. Establish and maintain MLOps practices including version control, CI/CD, experiment tracking, and automated retraining.
. Provide technical mentorship and leadership across project teams and client engagements.
. Contribute to AI governance and model explainability frameworks aligned with CGI's responsible AI principles.
. Evaluate emerging AI tools, frameworks, and architectures to drive continuous improvement.
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