Senior Managing Consultant - AI Architect

What you'll do

• Design centralized or distributed systems to meet user requirements efficiently.
• Lead end-to-end data architecture from platform selection to application development.
• Analyze data using statistical techniques and provide insightful reports regularly.
• Build and deploy machine learning models across various types including deep learning.
• Manage the lifecycle of ML models with tools like MLflow, Kubeflow, Vertex AI.
• Ensure security, privacy-by-design principles, and responsible AI practices are implemented.

What we're looking for

• 10+ years of experience in software engineering, data engineering, machine learning, or cloud architecture.
• Expertise in building and deploying ML models including supervised, unsupervised, and deep learning techniques.
• Proficient in MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker for model lifecycle management.
• Deep experience with large language models (LLMs), fine-tuning, RAG pipelines, vector databases, and prompt engineering.
• Strong background in data architecture including data lakes, warehouses, ETL/ELT design, and governance frameworks.
• Knowledge of security, privacy-by-design principles, and responsible AI practices.