Manager | Edge AI Engineering | Bengaluru | Engineering as a Service/ Operate

Job description

Job requisition ID :: 107913 Date: Jun 30, 2026 Location: Bengaluru Designation: Manager Entity: Deloitte LLP AI/ML Engineer – Edge Specialization # **Position Overview** We are seeking a innovative and motivated AI Engineer to join our Advanced Sensing Lab. The ideal candidate will have hands-on experience in machine vision or other sensing modalities, a strong background in deploying edge-based AI models, and a keen interest in advancing the state-of-the-art in artificial intelligence. This role will play a pivotal part in scoping, designing, developing, and operationalizing AI prototypes in a low-power, low-latency setting. ## **Key Responsibilities** - Design, develop, and optimize computer vision or sensor-based AI models using frameworks such as PyTorch, TensorFlow, and OpenCV. - Deploy, monitor, and maintain AI models on edge devices leveraging platforms like NVIDIA Jetson, Azure IoT Edge, or similar hardware. - Implement and maintain scalable MLOps pipelines using tools such as Databricks, MLflow, and Azure Machine Learning (particularly for cloud-trained, edge-deployed workflows). - Collaborate with data engineers, software developers, and product teams to integrate AI solutions into production environments. - Conduct performance tuning, model compression, and quantization for efficient inference on resource-constrained devices. - Document system design, workflows, and best practices using tools like Azure Dev Ops and Jira. ## **Required Qualifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. - Proven experience in developing and deploying machine vision or other sensing modality models using PyTorch, TensorFlow, or similar frameworks. - Hands-on experience with edge deployment on platforms such as NVIDIA Jetson, Raspberry Pi, or Intel OpenVINO. - Solid understanding of MLOps concepts and experience with Databricks, MLflow, Kubeflow, or Azure Machine Learning. - Proficiency in Python and familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes. - Experience with version control systems (Git) and continuous integration/continuous deployment (CI/CD) pipelines (GitHub Actions, Azure DevOps). ## **Preferred Qualifications** - Experience tuning and deploying small language models (e.g., LLama.cpp, Hugging Face Transformers, ONNX Runtime). - Experience with edge hardware platforms (e.g., NVIDIA Jetson, Raspberry Pi, Intel Movidius, or similar). - Experience in digital signal processing (DSP) and filter development for sensor data streams. - Familiarity with MCP and A2A protocols in AI Agent workflows. - Strong analytical and problem-solving skills, with the ability to work independently and in a collaborative team environment. - Excellent written and verbal communication skills.