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Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Senior Data Scientist at eBay shaping Trust & Risk strategy by analyzing marketplace risks, fraud, and policy impacts to improve customer safety and reduce losses.
Data Scientist analyzes eBay’s marketplace risk and trust metrics, builds predictive models, and partners with teams to reduce fraud and losses while improving buyer/seller experience.
Analyzes marketplace data to detect fraud, risk, and trust issues; builds metrics and models to reduce losses while improving customer experience for eBay’s global ecommerce platform.
Research and deploy LLM-based solutions (e.g., RAG, fine-tuning) to optimize industrial processes, analyze technical documents, and mine scientific knowledge for Air Liquide’s energy and healthcare operations.
Analyzes capital structures and investment risks for public/private organizations, providing data-driven insights and recommendations to institutional clients. Uses econometrics, quantitative modeling, and ESG analysis to forecast securities performance and develop research products.
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.
The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions, including LLMs and RAG applications, for global clients. The role requires strong Python skills and experience managing the full ML lifecycle within a consulting environment.
NVIDIA is seeking a Ph.D. research intern in Taipei to develop and implement novel deep learning methods in areas like VLA, 3D vision, and speech LLMs. The role involves conducting original research, publishing findings, and collaborating with internal and external teams.
Designs secure, scalable IT/contact center solutions for clients, bridging sales, technical teams, and stakeholders to deliver integrated infrastructure, security, and telephony systems.
Leads technical development of a DoD data platform for DISA’s DISN network, designing data lakes/lakehouses, pipelines, and AI-driven observability tools to enable predictive analytics, automation, and mission resilience.
The Lead Data Scientist will design, implement, and deploy advanced machine learning, generative AI, and agentic AI solutions to address complex healthcare business challenges. This role involves leading technical strategy, mentoring data scientists, and ensuring scalable, governed AI products are successfully integrated into production environments.
Lead the Conversational AI team at Lloyds Banking Group, designing scalable architectures for high-volume customer-facing AI interactions. Core technologies include GenAI, NLP, conversational AI platforms, AI agents, and vector stores.
The Advanced Analyst II develops and applies advanced machine learning and statistical models to solve complex business problems across retail operations, merchandising, and supply chain. The role involves partnering with stakeholders to deliver data-driven insights using technologies like Python, Azure, and Power BI.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Develop internal tools, data pipelines, and cloud infrastructure for AI medical note generation and speech recognition software, collaborating with NLP/NLU/AI teams using Kotlin, Python, and AWS.
Position Summary This role is not eligible for immigration sponsorship Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home…
Leads AI engineering for Lloyds Bank’s conversational AI team, designing scalable architectures for customer interactions, defining technical direction, and coaching engineers to deliver AI solutions at scale while adhering to ethical and regulatory standards.
The AQE Research Analyst will develop quantitative investment strategies by applying machine learning, NLP, and data science techniques to large datasets. The role involves back-testing alpha signals and collaborating with global teams to build scalable investment solutions.
As a Manager in Tax Innovation, you will lead multidisciplinary teams to design, develop, and deploy scalable AI and Generative AI solutions for tax practice operations. The role involves utilizing foundation models, agentic systems, and modern software engineering practices to deliver secure, production-ready AI applications.
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