Data Scientist

Role Overview: You will play a crucial role in working on cutting-edge innovation across various verticals such as retail, healthcare, gaming, and enterprise tech. Your primary responsibility will be to build, deploy, and optimize AI/ML models with a specific focus on Agentic AI and multi-agent coordination frameworks. You will utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment, while also applying Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts. Collaboration will be key in this role, as you will work closely with product, engineering, and design teams to bring AI-driven AR/VR applications to life. Additionally, you will be responsible for utilizing Multi-Cloud Pipelines for managing end-to-end workflows in a hybrid cloud setup, and continuously experimenting with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems. Key Responsibilities: - Build, deploy, and optimize AI/ML models focusing on Agentic AI and multi-agent coordination frameworks. - Utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment. - Apply Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts. - Collaborate with product, engineering, and design teams to develop AI-driven AR/VR applications. - Utilize Multi-Cloud Pipelines for managing end-to-end workflows in a hybrid cloud setup. - Experiment with emerging AI techniques in generative agents, prompt engineering, and memory-based systems. Qualifications Required: - Minimum 3-5 years of hands-on experience in AI/ML model development and deployment. - Strong Python skills are essential. - Experience in frameworks like TensorFlow, PyTorch, or OpenCV. Additional Details: Omit this section as there are no additional details of the company mentioned in the Job Description.,