Architect - Cyber Security

Architect - Cyber Security

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.