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Build and ship end-to-end AI features that turn model capabilities into reliable, real-world user workflows using Python, PyTorch/JAX, and vector DBs.
Senior ML Engineer to research and build AI models for physical systems like robots, combining reinforcement learning, multimodal models, and real-world robotics in a collaborative research environment.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and deploy AI/ML models, especially LLMs, to automate business processes and power data-driven decisions using Python and cloud services.
Build and deploy AI/ML models, especially LLMs, in Python to power data-driven business decisions and scalable backend services.
Build and scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Build and own TikTok’s search engine using ML, NLP, and multimodal systems to power AI-driven conversational search and personalized results.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Lead a team building multilingual large language models, curating datasets, and aligning models for safe, scalable AI features in Indonesia and Southeast Asia.
Build and own the AI layer for Elderwise, fine-tuning LLMs to convert caregiver notes into clinical documentation, with embeddings, RAG, and evaluation systems for accuracy and safety in healthcare.
Principal engineer builds and owns the AI and data platform that turns scientific data into reusable assets for model training, evaluation, and automated workflows in a secure, scalable environment.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and deploy AI features like LLMs and predictive models, writing clean Python code and collaborating with cross-functional teams in a fast-paced startup.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while ensuring real-world reliability in construction environments.
Principal engineer builds and sets direction for AI/data infrastructure that turns scientific data into reusable assets for model training and automated workflows in Python.
Build and scale data infrastructure for LLM training, fine-tuning, evaluation, and RAG at a Singapore-based university AI initiative.
Build and deploy ML systems for TikTok’s monetization, focusing on AI labeling, multimodal content understanding, and agentic workflows to improve ads and live-streaming revenue.
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.
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