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Build and ship LLM-powered features and agentic workflows for financial risk management, integrating AI into a cloud platform used by banks and asset managers.
Make a difference. Be happy. Grow your career. The Role Business intelligence developers must be data experts, as they work primarily with databases and different types of software. This job involves developing and…
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Build and optimize on-device AI systems, deploying LLMs, VLMs, and AI Agents to PCs and end devices using Python/C++ and frameworks like PyTorch and OpenVINO.
Senior Manager of Product – Emerging AI Development Location: Ireland (Dublin), United Kingdom (London), or Netherlands (Amsterdam) Job Type: Permanent, Hybrid (3 days per week onsite) Hours: Full time About the Role…
Lead a team to design, build, and ship ML models and LLM/GenAI pipelines for a media-screening platform running on AWS, balancing classical and modern AI approaches.
Design and architect large language models (LLMs) to process and generate natural language, training on vast unlabeled text datasets and refining model performance.
Lead a team to build Snowflake-native AI platforms and autonomous agents that power data-driven decisions in rare disease commercial operations, using Cortex AI and Snowpark for production-grade ML and agent systems.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Design and deploy cutting-edge AI/ML models, including LLMs and SLMs, to power next-gen customer-facing and operational solutions at Cisco’s CX AI Incubation team.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Design and fine-tune large language models to improve natural language understanding and generation for domain-specific tasks.
Fine-tunes and adapts large language models to improve instruction-following and domain-specific performance, collaborating with teams to align models with project goals.
Fine-tunes and adapts large language models to improve instruction-following and domain-specific performance, analyzing outputs and iterating on training strategies.
Fine-tunes and adapts large language models to improve their performance in specific domains and contexts, focusing on instruction fine-tuning and model evaluation.
About the Company At Tanger, our mission is to create shopping destinations that entertain, inspire, and bring our communities together. Guided by our vision to lead the evolution of shopping, we’ve spent over four…
Lead AI/ML architecture and development for fintech products, building and deploying production-grade generative AI systems including LLMs and RAG pipelines.
Build and deploy scalable ML pipelines, real-time/batch inference systems, and LLM serving stacks for a fintech personalization engine in AWS.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
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