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Build and optimize Google Ads’ retail-focused AI systems, improving user understanding, advertiser intent, and automated value delivery for retailers at scale.
Build and maintain large-scale systems at Google, working across full-stack development with Java, Python, Go, or C++ backends and JavaScript/TypeScript frontends, while contributing to AI/ML initiatives.
Build AI-driven features like chatbots and copilots using deep learning and LLMs to enhance customer interactions at a global fintech super app.
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
Builds core data and metadata infrastructure at Google Cloud, designing scalable systems to unify and federate information across services.
Build and deploy data-driven solutions using Python, ML, and Azure to optimize building systems and sustainability for Johnson Controls' smart-city and decarbonization products.
Build and deploy ML models and GenAI services, manage customer data, and analyze it using Python, NLP/LLMs, SQL, and OpenSearch in a product-focused team.
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Build and deploy AI-powered safety systems: liveness detection, fraud/abuse detection, audio analysis, and safety scoring using CV, NLP, and LLM pipelines in a high-load production environment.
Build and deploy AI-driven travel optimization systems using ML, GenAI, and MLOps on GCP for Sabre’s global travel marketplace, from pricing to airport operations.
Lead a team of Android and data engineers to build scalable platforms, integrating generative AI tools and LLMs into workflows while overseeing large-scale software projects.
Build and deploy AI-driven travel systems, blending ML, GenAI, and optimization to power airline pricing, agency automation, and itinerary personalization at scale.
Build and maintain AI-powered search infrastructure: ETL pipelines, embedding generation, document processing, and ranking systems to power semantic search and AI agent queries.
Build and maintain AI-powered search infrastructure: ETL pipelines, semantic embeddings, document processing, and retrieval systems to power accurate AI responses.
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Build and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
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