Senior AI/ML Lead / Architect

Lead end-to-end AI/ML solution delivery, covering business problem definition, data preparation, model design, training, production deployment, and monitoring.,Architect scalable ML pipelines utilizing open-source frameworks such as TensorFlow, PyTorch, scikit-learn, MLflow, and Kubeflow.,Design and deploy AI workloads in containerized environments using Docker and Kubernetes, with a focus on 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 to project teams and during client engagements.,Contribute to AI governance and model explainability frameworks, adhering to CGI’s responsible AI principles.,Evaluate emerging AI tools, frameworks, and architectures to ensure continuous improvement.

Bachelor’s or master’s degree in computer science, AI/ML, Data Science, or a related field.,8+ years of experience in AI/ML engineering, data science, or applied machine learning roles.,Strong proficiency in Python and open-source ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).,Proven experience across the complete ML lifecycle (data preprocessing, model training, serving, and monitoring).,Experience with MLOps frameworks such as MLflow, DVC, Airflow, or Kubeflow.,Working knowledge of containerization and orchestration (Docker, Kubernetes), including running GPU-based ML workloads.,Hands-on experience with cloud platforms (AWS, Azure, or GCP) and familiarity with their AI/ML ecosystem services.,Strong understanding of data pipelines, API integration, and enterprise-scale deployment architectures.

Bachelor's or Master's Degree in Computer Science, AI/ML, Data Science, or a related field