AI ML Architect

• Job Title: AI ML Product Architect.
• 12-15 years of Working Experience.
• 6-7 years of experience working with AI ML Product Architecture.
• Location: Pune (4 days WFO)
• Position type: Contract 

Responsibilities:

• Architect end-to-end product solutions for processing clinical records, claims, and healthcare documentation

• Design hybrid Azure/on-premises architectures supporting multi-tenant SaaS and enterprise deployment models

• Establish product architecture principles, design patterns, and technology stack decisions

• Evaluate build-vs-buy decisions for AI capabilities, Drive technical feasibility assessments and rapid prototyping for new product features

• Own non-functional requirements: performance, security, compliance (HIPAA), scalability, reliability

• Present architectural proposals and technical roadmaps to leadership through clear presentations and documentation AI/ML Product Engineering

• Design and implement fine-tuning pipelines for domain-specific LLMs (e.g. Llama, Mistral, Phi-3) on medical datasets

• Architect MLOps frameworks enabling continuous model improvement: training, evaluation, deployment, monitoring

• Build “built-in-intelligence-products” using advanced AI models.

• Implement distributed training infrastructure on Azure ML with GPU optimization (RTX5090/4090/A100/H100 clusters)

• Create model evaluation frameworks with domain-specific metrics and quality benchmarks

• Develop synthetic data generation capabilities for model training and testing

• Establish model versioning, A/B testing, and rollback strategies for production deployments Platform & Infrastructure

• Design microservices architectures with Azure Kubernetes Service, Service Bus, Event Hubs for event-driven workflows

• Build scalable data pipelines using Azure Data Factory, Synapse Analytics, Databricks for high-volume processing.

• Implement CI/CD automation through Azure DevOps with comprehensive testing and deployment gates

• Architect observability solutions: monitoring, logging, alerting, performance analytics

• Design hybrid cloud integration patterns connecting Azure services with on-premises systems

• Manage data architecture: Azure SQL, Cosmos DB, blob storage, data lakes with lifecycle policies Delivery Excellence & Hands-On Leadership

• Deliver technical demos to internal stakeholders and customers showcasing product capabilities\

• Establish engineering excellence standards: code quality, testing frameworks, peer reviews, documentation

• Create comprehensive technical documentation: architecture decision records, API contracts, deployment guides

Let’s build something amazing together! Apply now!