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Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
Build and deploy production-grade ML models and RAG pipelines to replace rule-based systems, focusing on model quality, evaluation, and self-hosted LLM inference.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build and deploy AI solutions for enterprise clients using cloud platforms (Azure/AWS), large language models, and MLOps pipelines in Python.
Build and maintain production ML models and data pipelines in a cloud-native environment using Python, SQL, and AWS SageMaker.
Build and deploy production ML models on AWS SageMaker, design data pipelines, and collaborate with teams to deliver scalable AI solutions in a cloud-native environment.
Senior Data Scientist builds and maintains production ML models and data pipelines in a cloud-native environment using AWS SageMaker or similar.
Build and deploy production ML models and cloud pipelines using Python, SQL, and AWS SageMaker for enterprise clients.
Build and deploy production ML models on AWS SageMaker, designing data pipelines and collaborating with engineering to scale AI solutions in a cloud-native environment.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
Design and build cloud-native data pipelines and warehouses in Snowflake, DBT, Airflow, and Terraform to power analytics and AI for clients across finance, healthcare, gaming, and retail.
Build and deploy Python-based ML Ops systems on AWS to optimize costly third-party verification API calls for a mortgage-tech client, reducing expenses via intelligent routing and real-time decision pipelines.
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
Lead a team building AI-powered data and ML systems for eBay sellers, including pricing intelligence, demand recommendations, and seller analytics using Java/Kotlin, Python, Spark/Scala, and LLMs.
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Principal Software Developer builds scalable, AI-powered financial platforms at Intuit, integrating AI tools like SageMaker and LangChain to enhance TurboTax, Credit Karma, and QuickBooks.
Build and deploy multi-step LLM agents and RAG pipelines on AWS to automate insurance processes, using LangChain, LangGraph, and Langfuse for observability.
Build and deploy multi-step LLM agents and RAG pipelines on AWS to automate insurance workflows, using LangChain, LangGraph, and Langfuse for observability.
Senior Solutions Architect embeds with clients to design and build production-grade GenAI systems in Python, owning architecture, trade-offs, and direct client communication.
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