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Build and deploy generative AI and LLM solutions on AWS using Python, RAG pipelines, and vector databases, collaborating with cross-functional teams to deliver production-ready AI systems.
Builds large-scale data-science products using ML/DL (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Databricks) to forecast trends and power analytics for a financial-services employer.
Senior Data Scientist builds and deploys production-grade ML models and agentic automation systems on AWS and Databricks to solve energy-sector business problems.
Build and maintain AI-native applications using Python, React, and LLM frameworks like LangChain and AWS Bedrock to automate and augment clinical and operational workflows in a regulated healthcare environment.
Meet the Team We are the Supply Chain Transformation AI Team within Cisco’s Supply Chain Operations. We are a diverse, fast-moving group of AI engineers and data scientists who collaborate directly with Product…
Build ML and reinforcement-learning models that power autonomous-vehicle simulation, creating realistic road-user behaviors for training and testing self-driving policies using generative AI and RL.
Senior Data Scientist builds and deploys AI/ML models for mission-critical defense intelligence systems using Python, PyTorch, and geospatial tools in classified and cloud environments.
Build, test, and deploy AI/ML models to power intelligent healthcare systems alongside senior engineers.
Design and lead the machine learning systems that power AI-driven document extraction and workflow automation for global enterprises, using NLP, LLMs, and Document AI at scale.
Designs, implements, and optimizes AI and machine translation systems to streamline localization workflows for global brands using Python, NLP libraries, and MT engines.
Develop AI/ML-powered mobile and web apps for a global media giant, integrating models for personalized content, search, and dynamic experiences while collaborating with cross-functional teams.
Principal AI Solutions Engineer at King to integrate AI tools into game development workflows, focusing on developer productivity and production-ready integrations using LLMs and cloud infrastructure.
Research and implement visual localisation and sensor-fusion algorithms for autonomous robots using computer vision and ML, then deploy them on embedded platforms.
Lead a team building real-time predictive models and ML systems that drive live business decisions in a data-centric UK tech company.
Lead design, development, and deployment of Python-based AI solutions, mentoring teams and guiding strategic AI/ML adoption using cloud platforms like GCP.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Build and deploy AI agents and knowledge systems to accelerate drug delivery R&D at Eli Lilly, turning complex scientific data into actionable insights and automated workflows.
Build and deploy AI/ML models to automate freight document processing at scale, using Python, PyTorch, and AWS SageMaker to extract and classify data from unstructured documents for a modern payments network.
Design and build AI-powered applications using cloud services and GenAI models, including deep learning and neural networks, while ensuring production-ready quality and collaborating with cross-functional teams.
Designs and implements AI/ML and cloud-based solutions for government intelligence initiatives, focusing on workflow automation, data modeling, and secure scalable architectures using frameworks like PyTorch/TensorFlow and cloud platforms (AWS).
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