AI Engineer

Overview

In this AI Engineer role, you will design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full solution lifecycle, selecting and customizing models, and designing scalable data and MLOps pipelines for training and production. You will apply deep learning, GenAI, and LLMs to real business problems, collaborating with cross-functional teams to deliver production-ready outcomes. This position offers exposure to cutting-edge AI technologies and a chance to influence client value through scalable AI systems.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions
• Develop models and scalable data pipelines for training and production with DevOps & MLOps
• Customize deep learning and GenAI models for business use cases, including edge/HPC contexts
• Research and develop new AI algorithms and simulations for client applications
• Handle large-scale datasets and data preprocessing for high-quality model input
• Implement and maintain efficient data storage and retrieval for models and knowledge
• Justify model approaches in business terms
• Collaborate with business and technical stakeholders to achieve end-to-end production goals

Key requirements

• Significant experience as a machine learning engineer or scientist deploying models in production at scale
• Experience with distributed computing systems and cloud computing
• Some experience building and deploying AI/ML software to a cloud environment

• Strong written and verbal communication
• Strong client-facing skills in a consulting environment
• Cross-functional collaboration
• Python and Python-based AI/ML frameworks (TensorFlow, PyTorch)
• Experience with language models and LLM APIs
• Programming languages: Python, C++, Java, R, SQL

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