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This PhD internship role involves developing and deploying machine learning models to enhance content understanding for TikTok's SMB live streaming platform. Interns will work on the full model lifecycle, from training to production, using languages like Python, Go, Java, or C++ and deep learning frameworks.
Design and develop computer vision algorithms for space debris detection, tracking, and 6DoF pose estimation using Python, C/C++, OpenCV, TensorFlow, and PyTorch within a hybrid team in the UK.
Design, develop, verify and deploy computer vision algorithms for spacecraft and ground systems, including space object detection, tracking, and 6DoF pose estimation, using Python, C/C++, OpenCV, TensorFlow, and PyTorch.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
Designs and deploys production AI/agentic systems for business use, focusing on agent infrastructure, integrations, and client-facing transformation. Leads AI product roadmaps, evaluates system reliability, and ensures secure, cost-effective deployments.
Build and deploy AI-driven solutions like GenAI copilots and predictive models to solve banking challenges and deliver measurable business value.
Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
Develops AI-driven automation software for semiconductor manufacturing, designing scalable systems, integrating industrial equipment, and collaborating with AI/data teams to solve complex factory challenges.
A senior Data Scientist who builds and deploys AI-driven simulation models for engineering/manufacturing industries, bridging technical teams and customers to deliver production-ready predictive tools.
Build and optimize Neo4j graph models to detect fraud rings and money laundering in real time for banking clients, using Python, GDS algorithms, and Bloom dashboards.
Lead AI/ML projects for generative AI and LLMs in Japanese, designing models, fine-tuning on domain text, and driving end-to-end delivery with business stakeholders.
Build and deploy ML models and generative AI features to automate and enhance Zendesk’s customer-service platform, collaborating with scientists, engineers, and product teams.
Leads AI security engineering for Lloyds Bank, designing secure patterns, controls, and tooling to protect AI/ML systems while enabling innovation in generative AI and automation.
Build and deploy AI models (LLMs, NLP, computer vision) for insurance use cases using Python, TensorFlow/PyTorch, and cloud platforms like Azure.
The Lead Software Engineer will drive technical strategy and implementation for automation initiatives within the SRE and Automation portfolio. The role involves designing and building large-scale solutions using a broad stack including .NET, Java, Python, and various AI/ML frameworks.
The Senior AI Solutions Architect will serve as a technical advisor to materials science and chemistry companies, helping them integrate NVIDIA's accelerated computing, AI, and physics-informed ML into their R&D and simulation workflows. The role involves collaborating with customers to optimize atomistic simulations, molecular design, and chemical process engineering using NVIDIA's software stack
NVIDIA is seeking Ph.D. students for research internships focused on generative AI, including multimodal models, diffusion models, and large language models. Interns will design algorithms, collaborate with research teams, and contribute to prototypes or publications while working with advanced AI technologies.
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