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Owns AI quality for an agentic video editor, building evaluation datasets, offline/online evals, and feedback loops to improve agent performance and fix production failures.
Data Scientist at an insurtech company designing and deploying ML models and agentic AI solutions for pricing, reserving, and CLV using Python, SQL, and cloud infrastructure.
The Role The HR Generalist is the primary point of support for onboarding, employee movement, and offboarding across Appen's Philippines workforce of approximately 600 Project Workers and 200 Corporate employees.…
Design, generate, evaluate, and improve LLM training data (instruction, preference, reasoning, domain-specific) and build automated synthetic data generation pipelines using Python and LLMs.
CodeValue is a leading software company delivering a full spectrum of software services that enable customers to focus on their core business activities. At CodeValue, we leverage the Web by administering…
The Senior AI/ML Engineer will develop and fine-tune vision language models to detect and measure property damage from imagery for insurance claims. The role involves building robust data pipelines, establishing evaluation frameworks, and ensuring privacy compliance while working with AWS infrastructure.
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Senior product-focused engineer owning end-to-end products at RWS's TrainAI division, using AI coding agents and agentic workflows as the primary means of execution across the full stack.
Mid-level product-focused engineer owning features end-to-end using AI coding agents as the primary workflow, working across the full stack for TrainAI, RWS's AI training data services division.
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
Builds and deploys AI-driven payment systems (LLM-powered workflows, fraud detection, personalized checkout) at scale for Airbnb’s global transactions, optimizing payouts/collections while ensuring low latency and security.
Lead the development of a teleoperation interface for AI-powered humanoid robots, focusing on VR/XR design, operator safety, and data collection workflows to support robot learning.
Builds AI-powered applications (LLMs, generative AI) to modernize government benefits and utility services, focusing on document parsing, RAG systems, and automation pipelines for public systems.
Data Engineer based in Papeete, French Polynesia, responsible for designing decisional data models (ODS, DW, datamarts), building ETL pipelines with Talend/Talaxie/Python/dbt, and creating PowerBI dashboards, while leveraging AI tools to enhance data and BI workflows.
The AI Embedded Engineer IV integrates AI models onto autonomous vehicle hardware, managing the deployment, optimization, and real-time performance of robotics software. This role balances software development in C++ and Python with hands-on hardware tasks like sensor integration, wiring, and field testing.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
Build and improve production ML components across data pipelines, training, evaluation, and inference using Python, PyTorch/JAX on GPUs.
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