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Lead a team to design and deploy analytics, optimization, and AI models that power decision-making across operations, using Python, SQL, Tableau, and cloud services like AWS.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Builds and maintains Python-based backend services and GenAI-powered features, integrating LLMs, vector databases, and AI APIs into production systems.
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
Designs and implements AI-powered solutions for higher-education and academic-medical clients, focusing on scalable architectures that blend traditional ML, generative AI, and automation.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Builds and refines AI and statistical models to solve business problems, focusing on scalability and measurable impact using Python, SQL, and cloud platforms like Snowflake and AWS.
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Lead a team building AI-driven enterprise search and analytics for legal, tax, and compliance professionals using RAG, agents, and full-stack web tech.
Lead the design and scaling of enterprise-grade AI systems, including RAG pipelines and autonomous agents, for legal, tax, and compliance domains using Python, PyTorch, and cloud-native architectures.
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
Design and evaluate AI integration patterns for a global insurance broker, building reference architectures and guiding enterprise adoption of emerging AI tools like LLMs and agent frameworks.
Builds and deploys AI/ML models (predictive, generative, agentic) for Adobe’s creative tools (e.g., Illustrator, InDesign) to enhance user workflows, focusing on RAG, embeddings, and copilots.
Build and scale Databricks-based data pipelines and ETL for Adobe’s Pro Design products, enabling AI-driven analytics and experimentation with telemetry and governance in Unity Catalog.
Principal AI Engineer builds and scales an enterprise AI/GenAI platform for an insurer, designing agentic systems, MLOps/LLMOps pipelines, and self-service tooling to accelerate AI use cases across the business.
Build and deploy ML models (embeddings, foundation models) to improve customer experiences in banking, using Python/Scala and cloud tools like Spark and AWS.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLMs and MLOps pipelines, using Python, cloud platforms, and frameworks like LangChain.
Design and sell AI-driven data platforms using Microsoft Fabric, guiding clients from discovery to scalable execution while translating tech into business value.
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