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Build and ship AI-powered features for a corporate expense management platform, integrating LLMs, RAG, and agent workflows to automate finance operations like expense categorization and policy enforcement.
Build and deploy NLP and generative AI systems—fine-tuning LLMs, RAG pipelines, and vector search—to automate document processing and decision support for a mid-market professional services firm.
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
Builds and deploys production-grade AI systems, focusing on agentic architectures, retrieval logic, and rigorous testing for LLM-powered applications.
Build AI-powered document processing pipelines using OCR, VLMs, LLMs, and RAG to extract and index content from PDFs, images, and other files for enterprise AI assistants.
Build and deploy generative AI products using LLMs, RAG, and fine-tuning; design prompts, evaluate models, and ship cloud-native APIs with Python and Kubernetes.
Build and enhance AI/ML systems, including LLMs and GenAI, for a platform and client projects using Python, TensorFlow, and cloud tools.
Coach teams and leadership in Agile/Scrum practices to transform workflows, streamline processes, and embed continuous improvement across the organization.
Build and lead AI solutions using LLMs, RAG, and agents; design scalable pipelines and mentor junior data scientists in a hybrid role.
Builds and deploys AI/ML systems (classical models, LLMs, agentic workflows) in production using Databricks, Azure ML, and Kubernetes, with a focus on forecasting, prompt engineering, and observability.
Builds and optimizes an AI-powered talent-search platform using Next.js, Node.js, and LLMs, focusing on search relevance and user onboarding.
Build and deploy AI/LLM tools for equity research, including RAG systems, agentic workflows, and scalable data pipelines to automate market analysis and investment recommendations.
Design and fine-tune LLMs and NLP pipelines to extract market insights from global financial data using RAG and agentic workflows.
AI Application Engineer (Part-Time) Location: Argentina, Brazil, Peru, Colombia, Costa Rica, Mexico Department: Workana Premium Workplace: remote Employment Type: full Description Client: medxprts.ai Location: Remote…
Senior role building scalable data pipelines, semantic layers, and automated analytics for a major bank using Python, SQL, and distributed systems.
Designs and optimizes large language models and reasoning pipelines for formal code verification, using Python/C++ and PyTorch/JAX in a San Francisco office.
We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
Design and build scalable data pipelines, ML workflows, and governance frameworks on Azure to enable analytics and AI across an insurance company.
Build and deploy production-grade AI and Generative AI solutions for clients, using cloud platforms, MLOps, and frameworks like TensorFlow/PyTorch.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
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