AI Engineering Lead

Overview

AI Engineering Lead role in the DPS Engineering team within a cross-functional product delivery squad. Build and deploy AI-driven capabilities to enhance product features, improve operational efficiency, and enable data-driven decision-making.

What you'll do

• Design, develop, and deploy machine learning and AI models aligned with product objectives.
• Translate business problems into AI/ML solutions with clear success metrics.
• Embed AI capabilities into product features and workflows in the delivery squad.
• Build and maintain end-to-end ML pipelines including ingestion, training, evaluation, deployment, and monitoring.
• Collaborate with data engineers on data requirements, pipelines, and data quality standards.
• Ensure AI solutions comply with security, privacy, and responsible AI usage standards.

What you'll need

• Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with GenAI/LLMs, including prompt engineering, RAG architectures, or API-based models.
• Familiarity with MLOps practices like CI/CD, model deployment, and monitoring.
• Experience with cloud platforms (Azure preferred; AWS/GCP acceptable).
• Knowledge of data engineering concepts including SQL, data pipelines, and APIs.
• Proven track record delivering AI solutions in production environments.

Details

• Location: Bangalore.