AI ML Developer

Job Title: Sr.

AI ML DeveloperExperience Range: 8+ Years

Location: Hyderabad/ BangaloreRequired Technical skill set: AI ML, Edge AIMust-Have:5+ years of hands-on development experience in AI/ML.Strong knowledge of ML libraries (TensorFlow Lite, PyTorch Mobile, ONNX).Experience with edge hardware platforms (e.g., Raspberry Pi, Jetson Nano, Coral Dev Board).Proficient in Python and C/C++.Familiarity with performance optimization techniques for models on edge.Experience with REST APIs, messaging protocols, or low-latency data streaming.Ability to perform predictive and statistical analysis from different data sourceknowledge and hands-on experience of building and deploying AI models on edge devices.knowledge of embedded systems, microcontrollers, or low-power compute devices.Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelinesExperience with Image Processing, Computer Vision, NLP, Pattern Recognition, Machine Learning and Linear algebra.knowledge and exposure to model optimization techniques.Experience with AI accelerator frameworksGood-to-Have:Familiarity with OpenCV, YOLO, or MobileNet for vision tasks.Knowledge of TinyML or microcontroller-based AI inference.Exposure to MLOps tools and versioning (MLflow, DVC).Understanding of security practices in edge deployments.Experience with edge analytics, anomaly detection, or predictive maintenance use cases.Exposure to deployment tool-chain like Intel EII, Nvidia Deep Stream, Qualcomm AI Hub, etc....Exposure to popular platforms such as Azure, AWSResponsibility of the Role:Build and optimize AI/ML models for edge deployment.Develop edge inference pipelines using lightweight frameworks.Optimize models for resource-constrained environments (quantization, pruning).Integrate AI models into embedded or IoT platforms.Collaborate with cross-functional teams on data collection, preprocessing, and annotation.Implement software for real-time processing and decision-making at the edge.