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Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Build and deploy ML pipelines and LLM services for a healthcare AI platform that supports population health and clinical decision-making.
Build and optimize speech recognition systems using Python, PyTorch, and TensorFlow to advance AI-driven speech-to-text technologies.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs/Docker, and integrate into real-time applications.
Build backend services integrating AI APIs and trading systems using Python, FastAPI, and SQL.
Build and maintain full-stack Python applications using Django/Flask, React/Angular, and PostgreSQL/Redis, collaborating with cross-functional teams.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs, and integrate into products.
Build and optimize real-time speech-to-text systems using Python, PyTorch/TensorFlow, and Docker, training models with frameworks like OpenAI Whisper and Wav2Vec2.
Builds and maintains scalable web apps using ASP.NET, React, and RESTful services, with optional Python and AI/ML contributions.
Lead end-to-end AI initiatives by designing, building, and deploying scalable full-stack applications using Python, Java/Scala, TensorFlow, and PyTorch on AWS.
Build and deploy AI/ML systems for U.S. federal agencies, integrating Python/Java/C++ with cloud platforms like AWS/Azure while ensuring system security.
Build a Java/Spring Boot backend and React frontend for an AI-driven fintech platform that automates onboarding, credit, and compliance decisions for banks and fintechs.
Build and deploy agentic AI systems using LLMs and reasoning architectures to improve patient outcomes in Philips' healthcare products.
Build and deploy agentic AI systems using LLMs and NLP for healthcare, focusing on RAG, chatbots, and structured information extraction to improve patient outcomes.
Build and maintain AI-powered data pipelines and infrastructure for document automation, deploying LLM agents and ensuring scalable, reliable AI systems in production.
Build and deploy AI models and data pipelines to optimize media strategies and operations for clients.
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Build and deploy AI systems for enterprise customers, handling ML infrastructure, DevOps, and end-to-end AI solution integration across cloud and on-prem environments.
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