AI Engineer

Overview

Design, develop, and deploy AI and machine learning solutions at scale, including deep learning models and AI architectures for edge and cloud workloads.

What you'll do

• Design, develop, and deploy AI/ML solutions at scale.
• Build and optimize deep learning models for tasks such as computer vision, speech recognition, and signal analytics.
• Develop and evaluate neural network architectures including CNNs, Transformers, ViTs, and multimodal/foundation models.
• Contribute to agentic AI solutions for reasoning, planning, orchestration, and autonomous execution.
• Design speech-to-text systems, voice analytics pipelines, and audio AI capabilities.
• Deploy AI models to edge/embedded systems and implement AWS-based AI architectures.
• Support AI model lifecycle management, MLOps, and CI/CD pipelines; participate in AI security and evaluation.

What you'll need

• Experience with building deep learning models for computer vision, speech recognition, and signal analytics.
• Knowledge of neural network architectures such as CNNs, Transformers, and Vision Transformers (ViTs).
• Ability to develop speech-to-text systems and audio/voice analytics pipelines.
• Experience building signal processing and time-series analytics pipelines for sensor data and telemetry.
• Experience deploying AI models to edge/embedded platforms including NVIDIA Jetson, Raspberry Pi, and ARM-based systems.
• Exposure to AWS AI services including SageMaker, Bedrock, Lambda, Step Functions, IoT Core, and Greengrass.

Details

• Location: Hyderabad, Telangana, India.