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Build ML models and NLP pipelines to analyze real-estate data, predict borrower risk, and guide lending decisions using Python libraries like PyTorch and TensorFlow.
Builds ML models to extract clinical insights from wearable sensor data, collaborating with customers to validate algorithms and improve digital health outcomes.
Builds ML models to extract clinical insights from wearable sensor data, focusing on time-series analysis and digital health applications.
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
Lead the design and delivery of LLM-powered AI workflows for JPMorganChase’s employee platforms, integrating agentic AI and MCP tools to improve productivity and operational efficiency.
Build and deploy AI/ML models, NLP, and LLM solutions to extract insights from unstructured data and support business decisions using Python, cloud platforms, and vector databases.
Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Designs and deploys AI models (LLMs, computer vision) to optimize manufacturing, improve product quality, and drive efficiency using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and optimize distributed systems that run large language models efficiently across Intel hardware, focusing on inference performance, parallelism, and communication.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Build and maintain a Rust-based platform that deploys and orchestrates AI models on edge devices, optimizing for constrained hardware and integrating with cloud services.
Senior Manager designs and implements GenAI solutions for healthcare clients, leading teams to transform raw data into actionable insights using Python, ML frameworks, and cloud platforms.
Senior data scientist at PwC India building predictive models and dashboards with Python, SQL, and ML to deliver client insights and strategic decisions.
Senior Manager designs and implements GenAI solutions for healthcare clients, leading teams to transform data into actionable insights using Python, ML frameworks, and cloud platforms.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade AI features.
Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
Lead AI/ML engineering to build an AI-ready research data ecosystem for vaccine discovery, integrating diverse datasets and developing predictive models to accelerate R&D.
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