Architect - Cyber Security

Job description

AI Architect Level 7 Location Bangalore We are looking for a technically savvy and business minded solutions architect to deeply partner with our most strategic and high impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting edge technologies, and make a significant impact on our company's success. Lead development of and provide hands on technical leadership in the delivery of proofs of concept or proofs of architecture for our customers. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real world problems Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. Contribute to open source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high signal feedback to the Product and Research teams. Knowledge of Transformer and other Deep Learning Architectures, data lake architectures, data integration, and data governance Cloud based AI ML technologies such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models LLM Comfortable working with Python and Jupyter Notebooks Should have in depth knowledge and familiarity with cloud platforms like Amazon Web Services AWS , Google Cloud Platform GCP , and Microsoft Azure. Expertise in any one framework TensorFlow, Pytorch, Keras Experience in a statistical programming language e.g. R or Python and applied machine learning and AI techniques i.e computer vision, deep learning, conversational AI, and natural language processing frameworks. Experience with Transforms Architecture Design, specializing LLM Zero Few Shot Training or any POC to create SML Expertise in optimizing AI solutions for runtime cost. Expertise in conversational system architecture Extensive knowledge on API’s & Integrations, Patterns. Extensive knowledge of big data technologies Knowledge on Statistical Methods 10 15 Years of Solution Architecture experience in AI ML fireld At least 5 years of experience with knowledge of Transformer and other Deep Learning Architectures, data lake architectures, data integration, and data governance At least 2 years of experience with cloud based AI ML technologies such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks building ML or applied AI solutions.