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Provide tier-2/3 support for Citi’s global financial applications, troubleshoot middleware and cloud issues, and apply SRE practices to improve system reliability and performance.
Designs and builds enterprise-grade agentic AI systems using Java microservices, cloud-native architecture, and frameworks like LangChain/Autogen to create autonomous agents, RAG pipelines, and LLM-based solutions for clients in advisory services.
Lead a data science team to build predictive models and insights for media brands, focusing on customer lifetime value, engagement, and personalization across apps and newsletters using Python, SQL, and ML.
Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Designs, builds, and deploys scalable ML models and pipelines for Disney’s media/commerce platforms, focusing on production-grade systems, MLOps, and cross-team collaboration.
Builds and deploys AI models for payment pricing, search, and client insights at a major bank, using Python/C++ and advanced ML techniques.
Main Purpose Trafigura is undergoing an exciting Digital Transformation, developing innovative AI technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative,…
This role sits within the Marketing Operations team and is a key enabler of a significant product transformation initiative. The Business Analyst will work directly in support of the Product Owner to drive the delivery…
Develops and commercializes Visa’s Data Manager (VDM) products, focusing on data warehousing, analytics, and AI-driven client self-service tools. Works on roadmaps, client onboarding, and cross-functional collaboration to enhance data accessibility and product performance.
Build and deploy ML models and analyses to extract insights from structured and unstructured data for government clients, using Python, R, SQL, and NLP techniques.
Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Business Insights Analyst at a BPO company focused on strategic data storytelling, stakeholder management, and reporting oversight—translating complex datasets into executive-ready insights using SQL, data visualization tools, and statistical analysis.
An AI Engineer at AIEH develops AI solutions for industry partners while mentoring AI apprentices in Singapore’s AI ecosystem, bridging research and real-world applications.
Senior Solutions Engineer at Darktrace partners with sales to lead technical pre-sales for AI-driven cybersecurity, designing demos and PoCs that align Darktrace’s platform to customer needs across network, cloud, and hybrid environments.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
Intern on NVIDIA's Deep Learning Software QA team building and maintaining test automation infrastructure for the AI software stack across GPU computing platforms, using Python, C++, and Linux.
QA intern on the Spark RAPIDS team responsible for GPU software testing, test automation infrastructure development, and web services for NVIDIA's deep learning frameworks and GPU workloads.
Designs AI-powered customer experience architectures for Genesys Cloud, combining LLMs, RAG, and workflows to enable real-time, scalable, and secure AI solutions for global enterprises.
The Senior Manager, Data Science will develop and apply computational and statistical methods to analyze multi-modal clinical and omics data to support drug development. This hands-on role involves building predictive models and analytical pipelines using Python, R, and SQL to drive biomarker discovery and clinical decision-making.
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