Senior AI/ML Lead / Architect Position Overview

We are seeking an experienced AI Lead to architect, develop, and operationalize machine learning and AI solutions across a diverse range of client engagements. This role blends hands-on technical depth with strategic leadership, focusing on the full AI/ML lifecycle from data engineering and experimentation to scalable deployment on Kubernetes-powered GPU clusters. You will play a pivotal role in driving open-source AI adoption, mentoring teams, and ensuring CGIs AI delivery aligns with industry best practices in MLOps, data governance, and responsible AI.

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 in 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 CGIs responsible AI principles.
Evaluate emerging AI tools, frameworks, and architectures to drive continuous improvement.

Required Qualifications

Bachelors or masters 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 from data preprocessing and model training to 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.

Preferred Skills

Experience with GPU optimization and frameworks such as CUDA, NVIDIA Triton, or TensorRT.
Exposure to Large Language Models (LLMs) and fine-tuning of open-source models.
Prior experience in consulting environments delivering AI-driven client solutions.
Contributions to open-source ML projects or active participation in AI communities.
Strong communication and stakeholder management skills, with the ability to translate complex AI concepts into business outcomes.

Skills

Artificial Intelligence
Large Language Model (LLM)
Machine Learning
NVIDIA TensorRT
Python (Anaconda) AI/ML

Senior AI/ML Lead / Architect

Job Description

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