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Develop low-level graphics software and APIs for mobile AR, focusing on Vulkan rendering, GPU drivers, and performance optimization.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Build and deploy AI models for healthcare, using ML, NLP, and LLMs on clinical data to drive data-driven innovations and scalable tools.
Build and deploy AI/ML models, focusing on language technologies like NLP and dialogue systems using Python, PyTorch, and Hugging Face frameworks.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Principal engineer building scalable data pipelines and microservices to power Autodesk’s generative AI and deep-learning tools for architecture, engineering, and construction workflows.
Builds a FastAPI backend and Next.js/React frontend to automate pharma vendor audit reports using NLP and LLMs, deployed on Azure with Pulumi IaC.
Build and deploy NLP models and LLM-powered backends using Python, FastAPI, PyTorch/TensorFlow, and cloud tools like Google Cloud and Airflow.
Lead Python Developer builds and maintains Python apps on Azure, using RAG architecture and event-based patterns to create scalable AI solutions in a Krakow office.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Build NLP pipelines with Flair/BERT/LLMs, process large datasets in PySpark/Pandas, and deploy ML models via Flask APIs and MLflow for Citi’s fintech and AI products.
Build AI-driven data solutions and DevOps pipelines for PwC’s clients, using ML, statistical modeling, and programming in Python/R/MATLAB to extract insights and automate workflows.
Builds and integrates backend services and APIs in Java/AWS to automate workflows and connect SaaS platforms, improving employee and customer experiences at Zendesk.
Builds and integrates scalable microservices and APIs in Java/AWS to automate workflows and enhance Zendesk’s AI-driven customer experience platform.
Lead a team building and scaling Fitch’s core data and ratings platform using Java, Python, AWS, and Kafka, while integrating AI/ML to enhance data solutions and developer productivity.
Build and scale Python-based backend services and LLM agent frameworks, integrating speech/NLP tech and ensuring reliability with observability tools.
Build and scale the backend of an AI-powered B2B sales platform using Ruby on Rails, Postgres, Elasticsearch, and Redis, shipping features weekly and solving complex data problems.
Build and refine the React-based UI for an AI-powered B2B sales platform that helps companies generate leads and automate outreach.
Build and maintain Python-based RPA automations for healthcare revenue cycle workflows using Selenium, OpenCV, and AI/ML tools like OCR, integrating with EHR systems and Azure.
Document patient encounters in EHRs using Commure’s Ambient AI to reduce clinicians’ admin burden, ensuring accurate, compliant, and timely clinical notes across specialties like primary care and oncology.
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