Padmi

Solution Architect/Solution Expert Lead (Bengaluru)

BangalorePosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Job Title: AI/ML Architect Experience Level: 8+ years Location: [Pune/Bangalore/Hybrid] Type: Full time Job Summary We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Roles & Responsibilities 1. Technical Leadership - Lead the technical design and architecture of complex Generative AI systems. - Ensure solutions align with business objectives, scalability requirements, and technical feasibility. - Guide development teams through best practices, architecture reviews, and technical decision-making processes. 2. Solution Architecture - Design and develop end-to-end Generative AI solutions, including data pipelines, model training, deployment, and real-time monitoring. - Utilize MLOps tools and frameworks to automate workflows, ensuring scalable and repeatable deployments. - Architect robust solutions using GCP and optionally AWS, Azure, or open-source frameworks. 3. Production Deployment - Lead the deployment of Generative AI models into production environments. - Optimize deployment pipelines leveraging tools like Docker, Kubernetes, and cloud-native services for orchestration. - Ensure seamless integration of GenAI solutions into existing CI/CD pipelines. 4. Data Processing & Feature Engineering - Build scalable ETL workflows for managing structured, semi-structured, and unstructured data. - Implement data wra .

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