Thumba.ai

Company Description Thumba.ai, powered by AI, offers agile delivery solutions for faster digital transformation. Managed by a dynamic team of product consultants and AI professionals, Thumba aims to simplify and accelerate agile delivery. With an ability to integrate seamlessly with ALM tools like Jira and Azure DevOps, Thumba ensures smoother delivery without disrupting existing processes. Its enterprise-grade security with a zero data storage policy makes it ideal for highly regulated sectors such as BFSI, Healthcare, Energy, Telecom, and Airlines. Role Description Manage the Technical solutioning, development, deployment, DevOps and maintenance of the Testhouse SAAS product and hands-on development of AI/ML models for the product features and working with with AI and ML specialist to ensure its successful release. Qualifications Bachelor's degree in Computer Science, AI, Data Science or a related discipline Post-graduate qualification in AI, Data Science, or a related discipline, or equivalent experience Experience 18+ years of work experience Experience with the development and deployment of intelligent SAAS products that use AI,ML- NLP and NLG models Experience in Design and architect a scalable, high-performing SaaS platform that meets business and customer needs. Lead the technical team in the development and implementation of the front-end and back-end systems. Ensure the integration of best practices in UI/UX design using HTML/CSS/JavaScript and React.js frameworks. Oversee and support the server-side development using Python with Flask framework, ensuring efficient backend performance. Design and manage the database architecture using PostgreSQL to ensure data integrity, performance, and scalability. Develop and maintain RESTful APIs to facilitate seamless integration and interaction between different software components. Experience of adapting and deploying open-source tools such as LLMs Database manipulation and integration Implement version control and source code management for SAAS products Advocate for the use of best-in-class development tools and practices, including Visual Studio Code and Docker for containerization. Collaborate with cross-functional teams to define product requirements, roadmaps, and strategies. Stay abreast of new technology trends and incorporate them into the platform to maintain its competitive edge. Experience in development and delivery of cloud-based products is mandatory Architectural Design: Design end-to-end architecture for AI-powered products ( Transfer models, context based algorithms) , considering scalability, performance, reliability, and security requirements. AI Model Selection: Evaluate and select appropriate AI models and algorithms based on business needs and data characteristics. Data Infrastructure: Design data pipelines and infrastructure for collecting, processing, and storing large volumes of data to support AI model training and inference.