AI & Machine Learning Consultant

Role Overview

Key Responsibilities

• Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-based AI platforms and services
• Build and maintain scalable data pipelines that support data ingestion, model training, deployment, and production operations
• Implement DevOps and MLOps practices to automate and streamline model development, deployment, monitoring, and maintenance
• Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements
• Evaluate business needs, data availability, and infrastructure constraints to design effective AI solutions that deliver measurable value
• Support the development of AI applications across cloud, edge computing, and High-Performance Computing (HPC) environments
• Conduct research and experimentation on emerging AI techniques, algorithms, models, and advanced analytical approaches
• Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve solution quality
• Design and maintain efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities
• Collaborate with data engineers, architects, and business stakeholders to develop scalable and production-ready AI solutions