Product Architect

6 days ago


Gulbarga, India Sourcebae Full time

Please note: Only candidates with 12+ years of experience are eligible for this role. Product Architect – AI/ML (AI Architect) Experience: 12–15 years (6–7+ years in AI/ML Product Architecture) Location: Pune / Hyderabad (WFO – 4 Days) Duration: 6 Months Joiners: Immediate Key Skills Highlighted JD Role Overview Lead the technical product vision and architecture for enterprise healthcare AI/ML platforms. Own strategy, design, delivery, and hands-on engineering across cloud, ML, and product systems with cross-timezone collaboration. Core Skills & Responsibilities- Product & Technical Strategy - Architect solutions for clinical data processing, claims, and healthcare documentation. - Design hybrid Azure/on-prem architectures, multi-tenant SaaS, and enterprise deployments. - Define architecture principles, design patterns, tech stack selection. - Drive build vs buy, PoCs, and manage NFRs: performance, security, HIPAA compliance, scalability, reliability. - Present architecture roadmaps to leadership. AI/ML Product Engineering - Fine-tune LLMs (Llama, Mistral, Phi-3) on medical datasets. - Build MLOps for training, evaluation, deployment, monitoring. - Create AI-embedded products. - Implement distributed training on Azure ML using GPU clusters (RTX5090/4090, A100, H100). - Build model evaluation frameworks, domain metrics, synthetic data pipelines. - Manage model versioning, A/B testing, rollback strategies. Platform & Infrastructure - Design microservices architecture using AKS, Service Bus, Event Hubs. - Build data pipelines with Azure Data Factory, Synapse, Databricks. - Implement CI/CD with Azure DevOps, including testing gates. - Architect observability (monitoring, logging, alerting, performance analytics). - Build hybrid cloud integrations. - Manage Azure SQL, Cosmos DB, Blob storage, Data Lake architecture. Delivery Excellence & Leadership - Lead PoCs, conduct code reviews, handle debugging, optimization, refactoring. - Create technical documentation (ADRs, APIs, deployment guides). - Identify and resolve technical debt. Team Development & Collaboration - Mentor junior engineers; provide design/code reviews. - Collaborate with US teams with required time overlap. - Translate business requirements into technical tasks. - Participate in sprint planning, architecture reviews, cross-timezone meetings. Required Qualifications (Non-Negotiable) - Expert Python, PyTorch, Transformers, production ML frameworks. - Strong with NVIDIA/CUDA. - Proven LLM fine-tuning and model deployment in regulated environments. - Experience delivering production AI products with business impact. - Strong software engineering, AI/ML, and DevOps expertise. - Flexibility for US hours overlap.


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